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Gianluca Baldassarre

Email:

gianluca.baldassarre@istc.cnr.it

Telephone:

+39 06 44595231

Fax:

+39 06 44595243

Address:

Gianluca Baldassarre, PhD, Researcher
Istituto di Scienze e Tecnologie della Cognizione,
Consiglio Nazionale delle Ricerche (ISTC-CNR),
Via San Martino della Battaglia 44, I-00185 Roma, Italy

Curriculum Vitae:

Curriculum vitae (long)

Groups:

Laboratory of Computational Embodied Neuroscience

Profile
Research
Publications
Projects
Resources

Profile

Position:

Researcher

Keywords:

Associative and Unsupervised Learning;
Attention and Active Vision;
Computational embodied neuroscience;
Cumulative Autonomous Learning;
Developmental robotics;
Extrinsic and Intrinsic Motivations;
Goals and Decision Making;
Hierarchical Sensorimotor Architectures;
Open-ended Learning;
Pavlovian and Instrumental Learning;
Reinforcement Learning;

Short profile:

Hello! I would really like to know you in person, and all others, but they say people are about 7,289,694,931 and my life time is unfortunately so short...

By the way, my name is Gianluca Baldassarre. This web-site is mainly about scientific stuff. I graduated in Economics at the University of Rome with the idea I wanted to do something useful for people. Maybe the choice of Economics was a mistake and I should have studied physics instead, since I liked it much at the high school. During the BA-MA I attended some courses in Philosophy as I was always interested in what mind and knowledge are. However, I thought philosophy was not enough scientific (at least in Rome), so I later did a Specialisation School (Master) in Neural Networks and Cognitive Psychology at the same University of Rome. Afterwards, I did a PhD in Computer Science at the University of Essex, UK, focussing on artificial intelligence. Before, during, and after the PhD I have been studying a lot of psychology and neuroscience. After the PhD, I came back to Rome, at the CNR-ISTC where I have been ever since, and where I am now a Researcher and Coordinator of the research group LOCEN (Laboratory of Embodied Computational Neuroscience).

The broad goals of my research are three: FrontiersTopicIMs

Understanding the core mechanisms of human intelligence and behaviour by understanding the overall architecture and functioning of brain and how it produces behaviour, in particular how brain can learn cumulatively by interacting with the body and the environment under the guidance of extrinsic and intrinsic motivations. To this purpose, I build computational system-level computational models of brain and behaviour, and of mental diseases: trying to understand the healthy and the ill brain is highly synergistic; plus it is useful for people.
Producing a robot that can autonomously learn knowledge and skills in a cumulative open-ended fashion. In particular, the robot should explore the environment, self-generate goals (based on curiosity and intrinsic motivations such as novelty, surprise, the accomplishment of tasks), learn skills to accomplish those goals, and use the acquired goals and skills to learn other increasingly complex/abstract goals, skills, skill sequences, hierarchies -- what I deem to be the true artificial intelligence.
Contribute to solve humanity problems (after many years of reasoning on this, I think I have now a plan... ;)

This is a same story with dates and some more details:

1996: BA and MSc in Economics (Thesis: Simulation of oligopolistic competing agents)
1996-1997: MSc in Cognitive Psychology and Neural Network Modelling (Thesis: A model of eye-arm coordination)
1997-1998: Research Assistant, Institute of Cognitive Sciences and Technologies, Italian National Research Council (ISTC-CNR), Rome, Italy (Research: A model of attention. Model of cultural evolution)
1998-2001: PhD in Computer Science (Thesis: Planning with neural-networks and reinforcement learning), University of Essex, UK
2001-2005: Postdoc at ISTC-CNR (Research: Swarm robotics, neural networks, evolutionary algorithms)
2006-now: Researcher at ISTC-CNR (Topics: Open-ended learning, hierarchical behaviour, multiple skill, goal-directed behaviour, intrinsic motivations, reinforcement learning; robots, animals, brain)
2006-now: Founder and Principal Investigator of the Research Group ''Laboratory of computational Embodied Neuroscience'' (LOCEN-ISTC-CNR)
2006-2009: Principal investigator for ISTC-CNR of EU Integrated Project ''ICEA – Integrating Cognition, Emotion and Autonomy''
2009-2013: Coordinator of EU Integrated Project "IM-CLeVeR – Intrinsically Motivated Cumulative Learning Versatile Robots"
2016-2020: Coordinator of EU Project "GOAL-Robots – Goal-based Open-ended Autonomous Learning Robots"
1998-now: About 100 international publications in developmental robotics and computational system-level models of brain and behaviour

Research method and topics

Go here to have more details on my research method and topics:

LOCEN research method and topics.

Selected publications in (the pdf of the papers are downloadable from here):

Reinforcement-learning, hierarhy, and learning of multiple skills in animals and robots

Seepanomwan K., Caligiore D., Baldassarre G., Cangelosi A. (2013). Modelling mental rotation in cognitive robots. Adaptive Behavior, 21 (4), 299-312.
Ciancio A. L., Zollo L., Baldassarre G., Caligiore D., Guglielmelli E. (2013). The Role of Learning and Kinematic Features in Dexterous Manipulation: A Comparative Study with Two Robotic Hands. International Journal of Advanced Robotic Systems, 10, E1-21.
Baldassarre, G., Mirolli, M. (eds.) (2013). Computational and robotic models of the hierarchical organisation of behaviour. Berlin: Springer-Verlag.
Caligiore D., Borghi A., Parisi D., Ellis R., Cangelosi A., Baldassarre G. (2013) How affordances associated with a distractor object affect compatibility effects: A study with the computational model TRoPICALS. Psychological Research, 77(1), 7-19.
Thill S., Caligiore D., Borghi A. M., Ziemke T., Baldassarre G. (2013). Theories and computational models of affordance and mirror systems: an integrative review. Neuroscience and Biobehavioral Reviews, 37, 491-521.
Caligiore D., Borghi A., Parisi D., Baldassarre G. (2010). TRoPICALS: A Computational Embodied Neuroscience Model of Compatibility Effects. Psycological Review, 117(4), 1188-1228.
Mannella F., Baldassarre G. (2007). A neural-network reinforcement-learning model of domestic chicks that learn to localise the centre of closed arenas. Philosophical Transactions of the Royal Society of London Series B-Biological Sciences, 362(1479), 383-401.
Baldassarre G. (2002). A modular neural-network model of the basal ganglia's role in learning and selecting motor behaviours. Journal of Cognitive Systems Research, 3(2), 5-13.

Intrinsic motivations in animals and robots

Fiore V. G., Sperati V., Mannella F., Mirolli M., Gurney K., Firston K., Dolan R. J., Baldassarre G. (2014). Keep focussing: striatal dopamine multiple functions resolved in a single mechanism tested in a simulated humanoid robot. Frontiers in Psychology - Cognitive Science, 5 (124), E1-17.
Baldassarre G., Mirolli M. (eds.) (2013). Intrinsically Motivated Learning in Natural and Artificial Systems. Berlin: Springer-Verlag.
Baldassarre G., Mannella F., Fiore V. G., Redgrave P., Gurney K., Mirolli M. (2013). Intrinsically motivated action-outcome learning and goal-based action recall: A system-level bio-constrained computational model. Neural Networks, 41, 168-187.
Mirolli M., Baldassarre G., Santucci V. G. (2013). Phasic dopamine as a prediction error of intrinsic and extrinsic reinforcement driving both action acquisition and reward maximization: A simulated robotic study. Neural Networks, 39, 40-51.
Baldassarre G. (2011). What are intrinsic motivations? A biological perspective. In Proceedings of the IEEE Conference on Developmental Learning and Epigenetic Robotics (ICDL2011), e1-8. IEEE. (Second Best Conference Paper).

Schembri M., Mirolli M., Baldassarre G. (2007). Evolving internal reinforcers for an intrinsically motivated reinforcement-learning robot. Proceedings of the 6th IEEE International Conference on Development and Learning, e282-287. IEEE.

Extrinsic motivations in animals and embodied systems

Mirolli M., Mannella F., Baldassarre G. (2010). The roles of the amygdala in the affective regulation of body, brain and behaviour. Connection Science, 22(3), 215-245.
Mannella F., Mirolli M., Baldassarre G. (2010). The interplay of Pavlovian and instrumental processes in devaluation experiments: a computational embodied neuroscience model tested with a simulated rat. In Tosh Colin and Ruxton Graeme (eds), "Modelling Perception With Artificial Neural Networks", 93-113. Cambridge, Cambridge University Press.

Collective, evolved, self-organising robots

Baldassarre G., Nolfi S. (2009). Strengths and synergies of evolved and designed controllers: a study within collective robotics. Journal of Artificial Intelligence, 173, 857-875.
Baldassarre G., Trianni V., Bonani M., Mondada F., Dorigo M., Nolfi S. (2007). Self-organised coordinated motion in groups of physically connected robots. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 37(1), 244-239.
Baldassarre G., Parisi D., Nolfi S. (2006). Distributed coordination of simulated robots based on self-organization. Artificial Life, 12(3), 289-311.

1996: Degree in Economics

1996-1997: Autonomous formation in cognitive psychology and neuroscience

1997: Master in Cognitive Psychlogy and Neural Network Models

1998-2001: PhD in Computer Science, University of Essex, UK

2001-2005: Postdoc, Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (ISTC-CNR), Rome, Italy

2006-now: Researcher at ISTC-CNR

2006-now: Founder and principal investigator of the Research Group ''Laboratory of computational Embodied Neuroscience'', LOCEN-ISTC-CNR, now formed by 9 researchers

2006-2009: Principal investigator for ISTC-CNR of EU Integrated Project ''ICEA – Integrating Cognition, Emotion and Autonomy'' (7 partners, 5 ml euros; 650k euros for LOCEN-ISTC-CNR)

2009-2013: Coordinator of EU Integrated Project IM-CLeVeR – Intrinsically Motivated Cumulative Learning Versatile Robots (7 partners, 6 ml euros; 1.5 ml euros for LOCEN-ISTC-CNR)

1998-now: about 100 hundred peer review publications in Neuroscience, Cognitive Science, Robotics.

Interests

General research goal.

Investigating how brain generates behaviour by interacting with the body and with the environment, based on computational system-level models (theoretical neuroscience).

Specific research topics.

1. Intrinsic motivations (based on superior colliculus and hippocampus)

2. Extrinsic motivations (basd on amygdala, hypothalamus, and nucleus accumbens)

3. The hierarchical organisation of motor behavior (based on basal ganglia, prefrontal-, premotor-, motor-cortex).

4. Biologically plausible learning processes (learning by trial and error, Hebbian learning e.g. STDP)

Research method used.

The research method used in the lab directed by Gianluca, called Computational Embodied Neuroscience (CEN), has been influenced by both the Simulation of Adaptive Behaviour approach (SAB) and by Computational Neuroscience. CEN draws from the SAB approach the importance given to natural evolution to understand behaviour in terms of its adaptive function, the view of behaviour as a phenomenon emergent from the brain-body-environment interaction, and the aim to understand the functioning of organisms as a whole. Moreover, CEN draws from Computational Neuroscience the goal to finely reproduce and explain the experimental data on behaviour and brain anatomy and physiology, and the rigor of models. In general, CEN can be said to be a ''top down'' approach that wants to arrive to understand brain starting from behaviour and its adaptive function for organisms.

5 Top publications

1.Mannella Francesco, Baldassarre Gianluca (2007). A neural-network reinforcement-learning model of domestic chicks that learn to localize the centre of closed arenas. Philosophical Transactions of the Royal Society B – Biological Sciences. Vol. 362 (No. 1479), pp. 383-401.

2. Baldassarre Gianluca, Nolfi Stefano (2009). Strengths and synergies of evolved and designed controllers: a study within collective robotics. Journal of Artificial Intelligence. Vol. 173, pp. 857-875.

3. Caligiore Daniele, Borghi Anna, Parisi Domenico, Baldassarre Gianluca (2010). TRoPICALS: A Computational Embodied Neuroscience Model of Compatibility Effects. Psycological Review, vol. 117, Issue 4, pp. 1188-1228.

4. Mirolli Marco, Mannella Francesco, Baldassarre Gianluca(2010). The roles of the amygdala in the affective regulation of body, brain and behaviour. Connection Science. 22 (3), 215-245.

5. Mannella Francesco, Mirolli Marco, Baldassarre Gianluca (2010). The interplay of pavlovian and instrumental processes in devaluation experiments: a computational embodied neuroscience model tested with a simulated rat. In Tosh Colin and Ruxton Graeme (eds), "Modelling Perception With Artificial Neural Networks", pp. 93-113. Cambridge, Cambridge University Press.

Research

See the research carried out with the Research Group I coordinate:

LOCEN Research

Publications


Journal articles
*2017*
Caligiore D., Mustile M., Spalletta G., Baldassarre G. Action observation and motor imagery for rehabilitation in Parkinson's disease: A systematic review and an integrative hypothesis. In: Neuroscience and Biobehavioral Reviews, vol. 72 pp. 210 - 222. Elsevier, 2017.
Caligiore D., Mannella F., Arbib M. A., Baldassarre G. Dysfunctions of the basal ganglia-cerebellar-thalamo-cortical system produce motor tics in Tourette syndrome. In: PLoS Computational Biology, vol. 13 (3) article n. e1005395. Public Library of Science, 2017.
*2016*
Caligiore D., Pezzulo G., Baldassarre G., Bostan A. C., Strick P. L., Doya K., Helmich R. C., Dirkx M., Houk J., Jörntell H., Lago-Rodriguez A., Galea J. M., Miall C. R., Popa T., Kishore A., Verschure P. F. M. J., Zucca R., Herreros I. Consensus Paper: Towards a Systems-Level View of Cerebellar Function: the Interplay Between Cerebellum, Basal Ganglia, and Cortex. In: Cerebellum, vol. 16 (1) pp. 203 - 229. Springer, 2017. [Online First 13 February 2016]
Caligiore D., Helmich R. C., Hallett M., Moustafa A. A., Timmermann L., Toni I., Baldassarre G. Parkinson's disease as a system-level disorder. In: npj Parkinson's Disease, vol. 2 article n. 16025. Springer, [Online First 01 December 2016]
Cartoni E., Balleine B., Baldassarre G. Appetitive Pavlovian-instrumental Transfer: a review. In: Neuroscience and Biobehavioral Reviews, vol. 71 pp. 829 - 848. Elsevier, 2016.
Mannella F., Mirolli M., Baldassarre G. Goal-Directed Behavior and Instrumental Devaluation: A Neural System-Level Computational Model. In: Frontiers in Behavioral Neuroscience, vol. 10 article n. 181. Frontiers Media, 2016.
Meola V. C., Caligiore D., Sperati V., Zollo L., Ciancio A. L., Taffoni F., Guglielmelli E., Baldassarre G. Interplay of rhythmic and discrete manipulation movements during development: a policy-search reinforcement-learning robot model. In: IEEE Transactions on Cognitive and Developmental Systems, vol. 8 (3) pp. 152 - 170. IEEE, 2016.
Santucci V. G., Baldassarre G., Mirolli M. GRAIL: a Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning. In: IEEE Transactions on Cognitive and Developmental Systems, vol. 8 (3) pp. 214 - 231. IEEE, 2016.
Özcan B., Caligiore D., Sperati V., Moretta T., Baldassarre G. Transitional Wearable Companions: A Novel Concept of Soft Interactive Social Robots to Improve Social Skills in Children with Autism Spectrum Disorder. In: International Journal of Social Robotics, vol. 8 (4) pp. 471 - 481. Springer, 2016.
*2015*
Caligiore D., Mustile M., Cipriani D., Redgrave P., Triesch J., De Marsico M., Baldassarre G. Intrinsic motivations driving learning of eye movements: an experiment with human adults. In: PLoS One, vol. 10 (3) article n. e0118705. Public Library of Science, 2015.
Cartoni E., Moretta T., Puglisi-Allegra S., Cabib S., Baldassarre G. The relationship between specific Pavlovian instrumental transfer and instrumental reward probability. In: Frontiers in Psychology, vol. 6 (1697) pp. e1 - 7. Frontiers, 2015.
Mannella F., Baldassarre G. Selection of cortical dynamics for motor behaviour by the basal ganglia. In: Biological Cybernetics, vol. 109 (6) pp. 575 - 595. Springer Berlin Heidelberg, 2015.
Ognibene D., Baldassarre G. Ecological active vision: four bio-inspired principles to integrate bottom-up and adaptive top-down attention tested with a simple camera-arm robot. In: IEEE Transactions on Autonomous Mental Development, vol. 7 (1) pp. 3 - 25. IEEE, 2015.
Seepanomwan K., Caligiore D., Cangelosi A., Baldassarre G. Generalisation, decision making, and embodiment effects in mental rotation: A neurorobotic architecture tested with a humanoid robot. In: Neural Networks, vol. 72 pp. 31 - 47. Elsevier, 2015.
*2014*
Baldassarre G., Gianluca B. A quick overview of LOCEN-ISTC-CNR theoretical analyses and system-level computational models of brain: from motivations to actions. In: Nea Science - Giornale Italiano di Neuroscienze, Psicologia e Riabilitazione, vol. 5 pp. 53 - 58. Neapolisanit, 2014.
Baldassarre G., Stafford T., Mirolli M., Redgrave P., Ryan R., Barto A. Intrinsic motivations and open-ended development in animals, humans, and robots: an overview. In: Frontiers in Psychology, vol. 5 (985) pp. e1 - 5. Frontiers, 2014.
Caligiore D., Parisi D., Baldassarre G. Integrating reinforcement learning, equilibrium points and minimum variance to understand the development of reaching: a computational model. In: Psychological Review, vol. 121 (3) pp. 389 - 421. American Psychological Association, 2014.
Caligiore D., Tommasino P., Sperati V., Baldassarre G. Modular and hierarchical brain organization to understand assimilation, accommodation and their relation to autism in reaching tasks: a developmental robotics hypothesis. In: Adaptive Behavior, vol. 22 (5) pp. 304 - 329. Sage, 2014.
Fiore V., Mannella F., Mirolli M., Latagliata E., Valzania A., Cabib S., Dolan R., Puglisi-Allegra S., Baldassarre G. Corticolimbic catecholamines in stress: a computational model of the appraisal of controllability. In: Brain Structure and Function, pp. e1 - 15. Springer Berlin Heidelberg, [Online First 04 February 2014]
Fiore V., Sperati V., Mannella F., Mirolli M., Gurney K., Firston K., Dolan R., Baldassarre G. Keep focussing: striatal dopamine multiple functions resolved in a single mechanism tested in a simulated humanoid robot. In: Frontiers in Psychology, vol. 5 (124) pp. e1 - 17. Frontiers Media S.A, 2014.
Polizzi Di Sorrentino E., Sabbatini G., Truppa V., Bordonali A., Taffoni F., Formica D., Baldassarre G., Mirolli M., Guglielmelli E., Visalberghi E. Exploration and learning in capuchin monkeys (Sapajus spp.): the role of action-outcome contingencies. In: Animal Cognition, vol. 17 pp. 1081 - 1088. Springer-Verlag Berlin Heidelberg, 2014.
Taffoni F., Tamilia E., Focaroli V., Formica D., Ricci L., Di Pino G., Baldassarre G., Mirolli M., Guglielmelli E., Keller F. Development of goal-directed action selection guided by intrinsic motivations: an experiment with children. In: Experimental Brain Research, vol. 232 (7) pp. 2167 - 2177. Springer, 2014.
Özcan B., Sperati V., Caligiore D., Baldassarre G. Motivating Children with Autism to Communicate and Interact Socially Through the "+me" Wearable Device. In: Nea Science - Giornale Italiano di Neuroscienze, Psicologia e Riabilitazione, vol. 5 pp. 59 - 65. Neapolisanit, 2014.
*2013*
Baldassarre G., Mannella F., Fiore V. G., Redgrave P., Gurney K., Mirolli M. Intrinsically motivated action-outcome learning and goal-based action recall: A system-level bio-constrained computational model. In: Neural Networks, vol. 41 pp. 168 - 187. Autonomous Learning. Elsevier, 2013.
Barto A., Mirolli M., Baldassarre G. Novelty or surprise?. In: Frontiers in Psychology, vol. 4 (907) pp. 1 - 15. Frontiers Media S.A, 2013.
Borghi A., Scorolli C., Caligiore D., Baldassarre G., Tummolini L. The embodied mind extended: Using words as social tools. In: Frontiers in Psychology, vol. 4 (214) p. -. Frontiers, [Online First 01 May 2013]
Caligiore D., Borghi A., Parisi D., Ellis R., Cangelosi A., Baldassarre G. How affordances associated with a distractor object affect compatibility effects: A study with the computational model TRoPICALS. In: Psychological Research-Psychologische Forschung, vol. 77 (1) pp. 7 - 19. Springer, 2013.
Caligiore D., Pezzulo G., Miall C., Baldassarre G. The contribution of brain sub-cortical loops in the expression and acquisition of action understanding abilities. In: Neuroscience and Biobehavioral Reviews, vol. 37 (10) pp. 2504 - 2515. Elsevier, 2013.
Cartoni E., Puglisi-Allegra S., Baldassarre G. The three principles of action: a Pavlovian-instrumental transfer hypothesis. In: Frontiers in Behavioural Neuroscience, vol. 7 pp. e1 - 11. Frontiers, 2013.
Chersi F., Mirolli M., Pezzulo G., Baldassarre G. A spiking neuron model of the cortico-basal ganglia circuits for goal-directed and habitual action learning. In: Neural Networks, vol. 41 pp. 212 - 224. Elsevier, 2013.
Ciancio A. L., Zollo L., Baldassarre G., Caligiore D., Guglielmelli E. The role of learning and kinematic features in dexterous manipulation: a comparative study with two robotic hands. In: International Journal of Advanced Robotic Systems, vol. 10 InTech, [Online First 3 April 2013]
Ferrauto T., Parisi D., Di Stefano G., Baldassarre G. Different genetic algorithms and the evolution of specialisation: a study with groups of simulated neural robots. In: Artificial Life, vol. 19 (2) pp. 221 - 253. MIT Press, 2013.
Mannella F., Gurney K., Baldassarre G. The nucleus accumbens as a nexus between values and goals in goal-directed behavior: a review and a new hypothesis. In: Frontiers in Behavioral Neuroscience, vol. 7 pp. e1 - 29. Frontiers, 2013.
Mirolli M., Santucci V. G., Baldassarre G. Phasic dopamine as a prediction error of intrinsic and extrinsic reinforcement driving both action acquisition and reward maximization: A simulated robotic study. In: Neural Networks, vol. 39 pp. 40 - 51. Elsevier Ltd, 2013.
Santucci V. G., Baldassarre G., Mirolli M. Which is the best intrinsic motivation signal for learning multiple skills?. In: Frontiers in Neurorobotics, vol. 7 pp. e1 - 14. Frontiers, 2013.
Seepanomwan K., Caligiore D., Baldassarre G., Cangelosi A. Modelling mental rotation in cognitive robots. In: Adaptive Behavior, vol. 21 (4) pp. 299 - 312. SAGE Publications, 2013.
Thill S., Caligiore D., Borghi A. M., Ziemke T., Baldassarre G. Theories and computational models of affordance and mirror systems: An integrative review. In: Neuroscience and Biobehavioral Reviews, vol. 37 pp. 491 - 521. Elsevier Ltd, 2013.
*2012*
Taffoni F., Vespignani M., Formica D., Cavallo G., Polizzi Di Sorrentino E., Sabbatini G., Truppa V., Mirolli M., Baldassarre G., Visalberghi E., Keller F., Guglielmelli E. A mechatronic platform for behavioral analysis of non human primates. In: Journal of Integrative Neuroscience, vol. 11 (1) pp. 87 - 101. Imperial College Press, 2012.
*2011*
Pezzulo G., Baldassarre G., Cesta A., Nolfi S. Research on Cognitive Robotics at the Institute of Cognitive Sciences and Technologies, National Research Council of Italy. In: Cognitive Processing, vol. 12 pp. 367 - 374. Springer, 2011.
*2010*
Caligiore D., Borghi A. M., Parisi D., Baldassarre G. TRoPICALS: a computational embodied neuroscience model of compatibility effects. In: Psychological Review, vol. 117 pp. 1188 - 1228. 2010.
Mirolli M., Mannella F., Baldassarre G. The roles of the amygdala in the affective regulation of body, brain and behaviour. In: Connection Science, vol. 22 (3) pp. 215 - 245. 2010.
Ognibene D., Pezzulo G., Baldassarre G. Learning to Look in Different Environments: An Active-Vision Model which Learns and Readapts Visual Routines. In: Lecture Notes in Computer Science, vol. 6226/2010 pp. 199 - 210. From Animals to Animats 11. 11th International Conference on Simulation of Adaptive Behavior, SAB 2010, Paris - Clos Lucé, France, August 25-28, 2010. Proceedings. Doncieux, S.; Girard, B.; Guillot, A.; Hallam, J.; Meyer, J.-A.; Mouret, J.-B. (Eds.) (eds.). Springer, 2010.
*2009*
Baldassarre G., Nolfi S. Strengths and synergies of evolved and designed controllers: a study within collective robotics. In: Artificial Intelligence, vol. 173 pp. 857 - 875. 2009.
Pezzulo G., Butz M., Sigaud O., Baldassarre G. From Sensorimotor to Higer Level Cognitive Processes: an Introduction to Anticipatory Behavior Systems. In: Lecture Notes in Artificial Intelligence, vol. Vol. 5499 pp. 1 - 9. Anticipatory Behavior in Adaptive Learning Systems. Giovanni Pezzulo, Martin V. Butz, Oliver Sigaud, Gianluca Baldassarre (eds.). Springer-Verlag, 2009.
*2007*
Baldassarre G., Trianni V., Bonani M., Mondada F., Dorigo M., Nolfi S. Self-organised coordinated motion in groups of physically connected robots. In: IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, vol. 37 (1) pp. 244 - 239. 2007.
Mannella F., Baldassarre G. A neural-network reinforcement-learning model of domestic chicks that learn to localise the centre of closed arenas. In: Philosophical Transactions of the Royal Society of London Series B-Biological Sciences, vol. 362 (1479) pp. 383 - 401. 2007.
*2006*
Baldassarre G., Parisi D., Nolfi S. Distributed coordination of simulated robots based on self-organization. In: Artificial Life, vol. 12 (3) pp. 289 - 311. 2006.
Mannella F., Baldassarre G. Punti di forza e di debolezza dei modelli di apprendimento per rinforzo: un'applicazione all'orientamento spaziale nei pulcini. In: Sistemi Intelligenti, vol. 18 (1) pp. 75 - 84. Il Mulino, 2006.
*2005*
Dorigo M., Tuci E., Gross R., Trianni V., Labella T., Nouyan S., Ampatzis C., Deneubourg J., Baldassarre G., Nolfi S., Mondada F., Floreano D., Gambardella L. The SWARM-BOTS project. In: Lecture Notes in Computer Science, vol. 3342 pp. 31 - 44. E. Sahin, W. M. Spears (eds.). Springer, 2005.
*2004*
Dorigo M., Trianni V., Sahin E., Gross R., Labella T. H., Baldassarre G., Nolfi S., Deneubourg J., Mondada F., Floreano D., Gambardella L. M. Evolving self-organizing behaviors for a swarmbot, Autonomous Robots. In: Autonomous Robots, vol. 17 pp. 223 - 245. 2004.
*2003*
Baldassarre G., Nolfi S., Parisi D. Evolving mobile robots able to display collective behaviours. In: Artificial Life, vol. 9 (3) pp. 255 - 267. 2003.
*2002*
Baldassarre G. A modular neural-network model of the basal ganglia's role in learning and selecting motor behaviours. In: Journal of Cognitive Systems Research, vol. 3 (2) pp. 5 - 13. Special Issue Dynamic and Recurrent Neural Networks. 2002.
*2001*
Baldassarre G. Cultural evolution of 'guiding criteria' and behaviour in a population of neural-network agents. In: Journal of Memetics - Evolutionary Models of Information Transmission, vol. 4 2001.
*1997*
Baldassarre G. Neural networks and genetic algorithms for the simulation models of bounded rationality theory - An application to oligopolistic markets. In: Rivista di Politica Economica, vol. 87 (12) pp. 107 - 146. SIPI, 1997.
Baldassarre G. Reti neurali ed algoritmi genetici per la simulazione dei modelli di teoria della razionalità limitata - Un'applicazione ai mercati oligopolistici. In: Rivista di Politica Economica, vol. 87 (12) pp. 115 - 157. SIPI, 1997.
Contribution to Book/Monograph
*2014*
Santucci V. G., Baldassarre G., Mirolli M. Cumulative learning through intrinsic reinforcements. In: Evolution, Complexity and Artificial Life. pp. 107 - 122. S. Cagnoni, M.Mirolli, M. Villani (eds.). Berlin: Springer, 2014.
*2013*
Baldassarre G., Mirolli M. Deciding which skill to learn when: Temporal-Difference Competence-Based Intrinsic Motivation (TD-CB-IM). In: Intrinsically Motivated Learning in Natural and Artificial Systems. pp. 257 - 278. G. Baldassarre, M. Mirolli (eds.). Berlin: Springer, 2013.
Baldassarre G. Self-Organization as Phase Transition in Decentralized Groups of Robots: A Study Based on Boltzmann Entropy. In: Advances in Applied Self-Organizing Systems. 2nd ed. pp. 157 - 179. M. Prokopenko (ed.). (Advanced information and knowledge processing). Berlin: Springer, 2013.
Baldassarre G., Caligiore D., Mannella F. The hierarchical organisation of cortical and basal-ganglia systems: a computationally-informed review and integrated hypothesis. In: Computational and Robotic Models of the Hierarchical Organisation of Behaviour. pp. 237 - 270. G. Baldassarre, M. Mirolli (eds.). Berlin: Springer, 2013.
Mirolli M., Baldassarre G. Functions and mechanisms of intrinsic motivations: the knowledge versus competence distinction. In: Intrinsically Motivated Learning in Natural and Artificial Systems. pp. 49 - 72. G. Baldassarre, M. Mirolli (eds.). Berlin: Springer-Verlag, 2013.
Taffoni F., Formica D., Schiavone G., Scorcia M., Tomassetti A., Polizzi Di Sorrentino E., Sabbatini G., Truppa V., Mirolli M., Baldassarre G., Visalberghi E., Keller F., Guglielmelli E. The "Mechatronic Board": a tool to study intrisic motivation in humans, monkeys, and humanoid robots. In: Intrinsically Motivated Learning in Natural and Artificial Systems. pp. 411 - 432. G. Baldassarre, M. Mirolli (eds.). Berlin: Springer, 2013.
*2010*
Mannella F., Mirolli M., Baldassarre G. The interplay of pavlovian and instrumental processes in devaluation experiments: a computational embodied neuroscience model tested with a simulated rat. In: Modelling Perception With Artificial Neural Networks. pp. 93 - 113. Tosh C. and Ruxton G (eds.). Cambridge: Cambridge University Press, 2010.
*2008*
Baldassarre G. Self-Organization as phase transition in decentralized groups of robots: A study based on Boltzmann Entropy. In: Advances in Applied Self-Organizing Systems. pp. 127 - 146. Berlin: Springer-Verlag, 2008.
Ognibene D., Balkenius C., Baldassarre G. A reinforcement-learning model of top-down attention based on a potential-action map. In: The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems. pp. 161 - 184. G. Pezzulo, M.V. Butz, C. Castelfranchi, R. Falcone (eds.). (Lecture Notes in Artificial Intelligence, vol. 5225). Berlin: Springer, 2008.
Pezzulo G., Butz M., Castelfranchi C., Falcone R., Baldassarre G., Balkenius C., Förster A., Grinberg M., Herbort O., Kiryazov K., Kokinov B., Johansson B., Lalev E., Lorini E., Martinho C., Miceli M., Ognibene D., Paiva A., Petkov G., Piunti M., Thorsteinsdottir V. Endowing Artificial Systems with Anticipatory Capabilities: Success Cases. In: The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems. pp. 237 - 254. G. Pezzulo, M.V. Butz, C. Castelfranchi, R. Falcone (eds.). (Lecture Notes in Artificial Intelligence, vol. 5225). Berlin: Springer, 2008.
*2006*
Baldassarre G. Cosa significa che gli animali computano. In: Cognizione e computazione - Problemi, metodi e prospettive delle spiegazioni computazionali nelle scienze cognitive. pp. 23 - 30. P. Cherubini, P. Giaretta, M. Marraffa, A. Paternoster (eds.). Padova: Cleup, 2006.
*2003*
Baldassarre G. Forward and bidirectional planning based on reinforcement learning and neural networks in a simulated robot. In: Adaptive Behaviour in Anticipatory Learning Systems. pp. 179 - 200. Butz M., Sigaud O., Gerard P (eds.). (Lecture Notes in Artificial Intelligence, vol. 2684). Berlin: Springer Verlag, 2003.
Nolfi S., Baldassarre G., Marocco D. The importance of viewing cognition as the result of emergent processes occurring at different time scales. In: Dynamic Systems Approach for Embodiment and Sociality. pp. 43 - 56. Murase K., Asakura T (eds.). Magill-Australia: Advanced Knowledge International Press, 2003.
Proceedings
*2014*
Santucci V. G., Baldassarre G., Mirolli M. Autonomous selection of the "what" and the "how" of learning: an intrinsically motivated system tested with a two armed robot. In: ICDL-EpiRob2014 - 2014 Joint IEEE International Conferences on Development and Learning and Epigenetic Robotics (ICDL-Epirob) (Genoa, Italy, 13-16 October 2014). Proceedings, pp. 434 - 439. IEEE, 2014.
Sperati V., Baldassarre G. Learning where to look with movement-based intrinsic motivations: a bio-inspired model. In: ICDL-EpiRob2014 - 2014 Joint IEEE International Conferences on Development and Learning and Epigenetic Robotics (ICDL-Epirob) (Genoa, Italy, 13-16 October 2014). Proceedings, pp. 461 - 468. IEEE, 2014.
*2013*
Ognibene D., Catenacci Volpi N., Pezzulo G., Baldassarre G. Learning epistemic actions in model-free memory-free reinforcement learning: experiments with a neuro-robotic model. In: Second International Conference on Biomimetic and Biohybrid Systems. (London, 29 July- 2 August 2013). Proceedings, pp. 191 - 203. N. F. Lepora, A. Mura, H. G. Krapp, P. F. M. J. Verschure, T. J. Prescott (eds.). (Lecture Notes in Computer Science, vol. 8064). Springer, 2013.
Santucci V. G., Baldassarre G., Mirolli M. Intrinsic motivation signals for driving the acquisition of multiple tasks: A simulated robotic study. In: ICCM 2013 - 12th International Conference on Cognitive Modelling (Ottawa, 11-14 July 2013). Proceedings, pp. 59 - 64. R.L. West, T.C. Stewart (eds.). Carleton University, 2013.
Seepanomwan K., Caligiore D., Baldassarre G., Cangelosi A. A cognitive robotic model of mental rotation. In: CCMB 2013 - 2013 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain. (Singapore, 16-19 April 2013). Proceedings, pp. 36 - 43. IEEE, 2013.
*2012*
Ciancio A. L., Zollo L., Baldassarre G., Caligiore D., Guglielmelli E. The role of thumb opposition in cyclic manipulation: a study with two different robotic hands. In: BioRob 2012 - The Fourth IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (Roma, 24-27 June 2012). Proceedings, pp. 1092 - 1097. E. Guglielmelli (ed.). IEEE, 2012.
Marraffa R., Sperati V., Caligiore D., Triesch J., Baldassarre G. A bio-inspired attention model of anticipation in gaze-contingency experiments with infants. In: ICDL-EpiRob 2012 - 2012 International Conference on Development and Learning and Epigenetic Robotics (San Diego, CA, 7-9 November 2012). Proceedings, pp. 1 - 8. IEEE, 2012.
Santucci V. G., Baldassarre G., Mirolli M. A bio-inspired learning signal for the cumulative learning of different skills. In: WIVACE 2012 - Workshop Italiano di Vita Artificiale e Computazione Evolutiva, 2012. Proceedings. CD-ROM (Parma, 20-21 Febbraio 2012). Atti, pp. E1 - 12. S.Cagnoni, M. Mirolli, M.Villani (eds.). Dip. Scienze Sociali. Universita' di Parma, 2012.
Santucci V. G., Baldassarre G., Mirolli M. Intrinsic motivation mechanisms for competence acquisition. In: ICDL-EpiRob 2012 - 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (San Diego, Cal, 7-9 November 2012). Proceedings, pp. 1 - 6. IEEE, 2012.
Taffoni F., Formica D., Zompanti A., Mirolli M., Baldassarre G., Keller F., Guglielmelli E. A mechatronic platform for behavioral studies on infants. In: BioRob 2012 - The Fourth IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (Roma, 24-27 June 2012). Proceedings, pp. 1874 - 1878. E. Guglielmelli (ed.). IEEE, 2012.
Tommasino P., Caligiore D., Sperati V., Baldassarre G. A McKibben muscle arm learning equilibrium postures. In: BioRob 2012 - The Fourth IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (Roma, 24-27 June 2012). Proceedings, pp. 1229 - 1234. E. Guglielmelli (ed.). IEEE, 2012.
Tommasino P., Caligiore D., Mirolli M., Baldassarre G. Reinforcement learning algorithms that assimilate and accommodate skills with multiple tasks. In: ICDL-EpiRob 2012 - 2012 International Conference on Development and Learning and Epigenetic Robotics (San Diego, CA, 7-9 November 2012). Proceedings, pp. 1 - 8. IEEE, 2012.
*2011*
Baldassarre G. What are intrinsic motivations? A biological perspective. In: ICDL-EPIROB 2011 - IEEE International Conference on Developmental Learning and Epigenetic Robotics (Frankfurt am Main, Germany, 24-27 August 2011). Proceedings, pp. E1 - 8. (Proceedings of the IEEE). IEEE, 2011.
Ciancio A. L., Zollo L., Guglielmelli E., Caligiore D., Baldassarre G. Hierarchical reinforcement learning and central pattern generators for modeling the development of rhythmic manipulation skills. In: ICDL-EPIROB 2011 - First Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (Frankfurt am Main, Germany, 24-27 August 2011). Proceedings, article n. E1. IEEE, 2011.
*2010*
Caligiore D., Mirolli M., Parisi D., Baldassarre G. A bioinspired hierarchical reinforcement learning architecture for modeling learning of multiple skills with continuous state and actions. In: EpiRob2010 - Tenth International Conference on Epigenetic Robotics, 2010. (Örenäs Slott, Sweden, 5-7 November 2010). Proceedings, pp. 27 - 34. B. Johansson, E. Sahin, C Balkenius (eds.). (Lund University Cognitive Studies, vol. 149). Lund University Cognitive Studies, 2010.
Caligiore D., Guglielmelli E., Borghi A., Parisi D., Baldassarre G. A reinforcement learning model of reaching integrating kinematic and dynamic control in a simulated arm robot. In: ICDL-2010 - Ninth IEEE International Conference on Development and Learning, 2010. (Ann Arbor, MA, 18-21 August 2010). Proceedings, pp. 211 - 218. B. Kuipers, T. Shultz, A. Stoytchev, C. Yu (eds.). IEEE, 2010.
Ognibene D., Pezzulo G., Baldassarre G. How can bottom-up information shape learning of top-down attention-control skills?. In: ICDL-2010 - Ninth IEEE International Conference on Development and Learning, 2010. (Ann Arbor, MA, 18-21 August 2010). Proceedings, pp. 231 - 237. B. Kuipers, T. Shultz, A. Stoytchev, C. Yu (eds.). IEEE, 2010.
Ognibene D., Pezzulo G., Baldassarre G. Learning to look in different environments: an active-vision model which learns and readapts visual routines. In: SAB 2010 - From Animals to Animats 11, 11th International Conference on Simulation of Adaptive Behavior, 2010 (Paris, 25-28 August 2010). Proceedings, pp. 199 - 210. S. Doncieux, G. Benoit, A. Guillot, J. Hallam, J.-A. Meyer, J.-B. Mouret (eds.). (Lecture Notes in Artificial Intelligence, vol. 6226). Springer, 2010.
Santucci V. G., Baldassarre G., Mirolli M. Biological cumulative learning through intrinsic motivations: a simulated robotic study on development of visually-guided reaching. In: EpiRob2010 - Tenth International Conference on Epigenetic Robotics, 2010. (Örenäs Slott, Sweden, 5-7 November 2010). Proceedings, pp. 121 - 128. B. Johansson, E. Sahin, C Balkenius (eds.). (Lund University Cognitive Studies, vol. 149). Lund University Cognitive Studies, 2010.
*2009*
Baldassarre G., Mirolli M. Il Progetto IM-CLeVeR: Intrinsecally Motivated Cumulative Learning Versatile Robots. In: WIVACE 2009 - Modelli, sistemi e applicazioni di Vita Artificiale e Computazione Evolutiva, WIVACE 2009. Atti del VI Workshop Italiano di Vita Artificiale e Computazione Evolutiva (Napoli, 23-25 novembre 2009). Atti, pp. 43 - 46. O. Miglino, M. Ponticorvo, A. Rega, F. Rubinacci (eds.). Fridericiana Editrice Universitaria, 2009.
Baldassarre G., Mirolli M., Mannella F., Caligiore D., Visalberghi E., Natale F., Truppa V., Sabbatini G., Guglielmelli E., Keller F., Campolo D., Redgrave P., Gurney K., Stafford T., Triesh J., Weber C., Rothkopf C., Nehmzow U., Condell J., Siddique M., Lee M., Huelse M., Schmidhuber J., Gomez F., Foester A., Togelius J., Barto A. The IM-CLeVeR project: intrinsically motivated cumulative learning versatile robots. In: EpiRob'2009 - Ninth International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems (Venice, Italy, 12-14 November 2009). Proceedings, pp. 189 - 190. L. Canamero, P.Y. Oudeyer, C. Balkenius (eds.). (Lund University Cognitive Studies, vol. 146). Lund University Cognitive Studies, 2009.
Caligiore D., Borghi A. M., Parisi D., Baldassarre G. Affordances and compatibility effects: a neural-network computational model. In: NCPW11 - Connectionist Models of Behaviour and Cognition II. Proceedings of the 11th Neural Computation and Psychology Workshop (Oxford, 16-18 July 2008). Proceedings, pp. 15 - 26. J. Mayor, N. Ruth, K. Plunkett (eds.). World Scientific, 2009.
Koene A., Mannella F., Baldassarre G. Distal place recognition based navigation control inspired by hippocampus-amygdala interactions. In: EpiRob2009 - Ninth International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, 2009. (Venice, Italy, 12-14 November 2009). Proceedings, pp. 215 - 216. L. Canamero, P.Y. Oudeyer, C.Balkenius (eds.). (Lund University Cognitive Studies, vol. 146). Lund University Cognitive Studies, 2009.
Mannella F., Koene A., Baldassarre G. Navigation via Pavlovian conditioning: A robotic bio-constrained model of autoshaping in rats. In: EpiRob2009 - Ninth International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, 2009. (Venice, Italy, 12-14 November 2009). Proceedings, pp. 97 - 104. L. Canamero, P.Y. Oudeyer, C. Balkenius (eds.). (Lund University Cognitive Studies, vol. 146). Lund University Cognitive Studies, 2009.
Mirolli M., Schembri M., Baldassarre G. Apprendimento cumulativo basato su motivazioni intrinseche: un modello neurale gerarchico testato su un robot simulato. In: WIVACE 2009 - Modelli, sistemi e applicazioni di Vita Artificiale e Computazione Evolutiva. Atti del VI Workshop Italiano di Vita Artificiale e Computazione Evolutiva (Napoli, 23-25 novembre 2009). Atti, pp. 125 - 131. O. Miglino,M. Ponticorvo, A. Rega, F.Rubinacci (eds.). Fridericiana Editrice Universitaria, 2009.
Ognibene D., Pezzulo G., Baldassarre G. How Are Representations Affected by Scene Statistics in an Adaptive Active Vision System?. In: Epirob 2009 - Ninth International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems (Venice, 12-14 November 2009). Proceedings, article n. -. -, 2009.
Ognibene D., Pezzulo G., Baldassarre G. How Are Representations Affected by Scene Statistics in an Adaptive Active Vision System?. In: EpiRob2009 - Ninth International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, 2009. (Venice, Italy, 12-14 November 2009). Proceedings, pp. 229 - 230. L. Canamero, P.Y. Oudeyer, C.Balkenius (eds.). (Lund University Cognitive Studies, vol. 146). Lund University Cognitive Studies, 2009.
Venditti A., Mirolli M., Parisi D., Baldassarre G. A neural-network model of the dynamics of hunger, learning, and action vigor in mice. In: WIVACE 2008 - Artificial life and evolutionary computation - Proceedings of Wivace 2008 (Venice, Italy, 8-10 September 2008). Atti, pp. 131 - 142. R. Serra, M. Villani, I. Poli (eds.). World Scientific, 2009.
*2008*
Caligiore D., Ferrauto T., Parisi D., Accornero N., Capozza M., Baldassarre G. Using motor babbling and Hebb rules for modeling the development of reaching with obstacles and grasping. In: CogSys2008 - International Conference on Cognitive Systems 2008 (Karlsruhe, Germany, 2-4 April 2008). Proceedings, pp. E1 - 8. R. Dillmann, C. Maloney, G. Sandini, T. Asfour, G. Cheng, G. Metta, A. Ude (eds.). University of Karlsruhe, 2008.
Fiore V. G., Mannella F., Mirolli M., Gurney K., Baldassarre G. Instrumental conditioning driven by neutral stimuli: A model tested with a simulated robotic rat. In: EpiRob'08 - Eighth International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems (Brighton, UK, 30-31 July 2008). Proceedings, pp. 13 - 20. M. Schlesinger, L. Berthouze, C. Balkenius (eds.). (Lund University Cognitive Studies, vol. 139). Lund University Cognitive Studies, 2008.
Mannella F., Zappacosta S., Mirolli M., Baldassarre G. A computational model of the amygdala nuclei's role in second order conditioning. In: SAB 2008 - From Animals to Animats 10, 10th International Conference on Simulation of Adaptive Behavior, SAB 2008. Proceedings (Osaka, Japan, 7-12 July 2008). Proceedings, pp. 321 - 330. M. Asada, J. C.T. Hallam, J.-A. Meyer, J. Tani (eds.). (Lecture Notes in Artificial Intelligence, vol. 5040). Springer, 2008.
Ognibene D., Balkenius C., Baldassarre G. Integrating epistemic action (active vision) and pragmatic action (reaching): a neural architecture for camera-arm robots. In: SAB 2008 - From Animals to Animats 10, 10th International Conference on Simulation of Adaptive Behavior, SAB 2008. Proceedings (Osaka, Japan, 7-12 July 2008). Proceedings, pp. 220 - 229. M. Asada, J. C.T. Hallam, J.-A. Meyer, J. Tani (eds.). (Lecture Notes in Artificial Intelligence, vol. 5040). Springer, 2008.
*2007*
Baldassarre G. Empirical research on brain and behaviour, and agent-based modelling, will have a deep impact on investigations on well-being (and on economics). In: International Conference on Policies for Happiness. (Siena, Italy, 14-17 June 2007). Atti, Bartolini S., Belli F., Bellanca N., Bilancini E., Bosco L., Bruni L., Pugno M (eds.). 2007.
Baldassarre G. Un modello verbale fisicalista (pre-Turing) dei sistemi computazionali naturali ed artificiali. In: WIVACE 2007 - Quarto Workshop Italiano di Vita Artificiale e Computazione Evolutiva 2007 (Sampieri (RG), Italia, 5-7 Settembre 2007). Atti, article n. .. G. Nicosia, M. Pavone (eds.). Univeristà di Catania, 2007.
Caligiore D., Parisi D., Baldassarre G. Toward an integrated biomimetic model of reaching. In: ICDL 2007 - IEEE 6th International Conference on Development and Learning, 2007. (London, 11-13 July 2007). Proceedings, pp. 241 - 246. Y. Demiris, B. Scassellati, D. Mareschal (eds.). IEEE, 2007.
Cecconi F., Caligiore D., Baldassarre G., Parisi D. Interacting networks as models of cultural change. In: MASHS2007 - Computational Methods for Modelling and Learning in Social and Human Sciences (Brest, Francia, 10-11 May 2007). Proceedings, Gabriel P. Phan D. Waldeck R. Moniere C (ed.). Bretagne: ENST, 2007.
Herbort O., Ognibene D., Butz M. V., Baldassarre G. Learning to select targets within targets in reaching tasks. In: ICDL 2007 - IEEE 6th International Conference on Development and Learning, 2007. (London, 11-13 July 2007). Proceedings, pp. 7 - 12. Y. Demiris, B. Scassellati, D. Mareschal (eds.). IEEE, 2007.
Mannella F., Mirolli M., Baldassarre G. The role of amygdala in devaluation: a model tested with a simulated robot. In: EpiRob2007 - Seventh International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, 2007. (Piscataway, NJ, 5-7 November 2007). Proceedings, pp. 77 - 84. L. Berthouze, C.G. Prince, M. Littman, H. Kozima, C. Balkenius (eds.). (Lund University Cognitive Studies, vol. 135). Lund University, 2007.
Pezzulo G., Baldassarre G., Butz M., Castelfranchi C., Hoffmann J. From Actions to Goals and Vice-Versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE. In: ABiALS 2006 - Anticipatory Behavior in Adaptive Learning Systems. From Brains to Individual and Social Behavior (Rome, Italy, 30 September 2006). Proceedings, pp. 73 - 93. M.V. Butz, O. Sigaud, G. Pezzulo, G. Baldassarre (eds.). (Lecture Notes in Artificial Intelligence, vol. 4520). Springer, 2007.
Schembri M., Mirolli M., Baldassarre G. Evolution and learning in an intrinsically motivated reinforcement learning robot. In: ECAL 2007 - Ninth European Conference on Artificial Life, 2007 (Lisbon, 10-14 September 2007). Proceedings, pp. 294 - 333. F. Almeida e Costa, L. M. Rocha, E. Costa, I. Harvey, A. Coutinho (eds.). (Lecture Notes in Artificial Intelligence, vol. 4648). Springer, 2007.
Schembri M., Mirolli M., Baldassarre G. Evolving childhood's length and learning parameters in an intrinsically motivated reinforcement learning robot. In: EpiRob2007 - Seventh International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, 2007. (Piscataway, NJ, 5-7 November 2007). Proceedings, pp. 141 - 148. L. Berthouze, C.G. Prince, M. Littman, H. Kozima, C. Balkenius (eds.). (Lund University Cognitive Studies, vol. 135). Lund University, 2007.
Schembri M., Mirolli M., Baldassarre G. Evolving internal reinforcers for an intrinsically motivated reinforcement-learning robot. In: ICDL 2007 - 6th IEEE International Conference on Development and Learning 2007. (London, 11-13 July 2007). Proceedings, pp. 282 - 287. Y. Demiris, B. Scassellati, D. Mareschal (eds.). (Proceedings of the IEEE). IEEE, 2007.
Zappacosta S., Nolfi S., Baldassarre G. A Testbed for Neural-Network Models Capable of Integrating Information in Time. In: ABiALS 2006 - Anticipatory Behavior in Adaptive Learning Systems. From Brains to Individual and Social Behavior (Rome, Italy, 30 September 2006). Proceedings, pp. 189 - 217. M.V. Butz, O. Sigaud, G. Pezzulo, G. Baldassarre (eds.). (Lecture Notes in Artificial Intelligence, vol. 4520). Springer, 2007.
*2006*
Ferrauto T., Baldassarre G., Di Stefano G., Parisi D. Comparison of genetic algorithms used to evolve specialisation in groups of robots. In: WIVA3 - Terzo Workshop Italiano di Vita Artificiale (Siena, Italy, 13-15 Settembre 2006). Atti, Acerbi A., Giansante S., Marocco D (eds.). 2006.
Mannella F., Baldassarre G. Possible roles of orbitofrontal-amygdala loop in modulation of basal ganglia activation. In: WIVA3 - Terzo Workshop Italiano di Vita Artificiale (Siena, Italy, 13-15 Settembre 2006). Atti, Acerbi A., Giansante S., Marocco D (eds.). 2006.
Ognibene D., Rega A., Baldassarre G. A model of reaching integrating continuous reinforcement learning, accumulator models and direct inverse modelling. In: SAB 2006 - From Animals to Animats 9. 9th International Conference on Simulation of Adaptive Behavior, 2006. (Rome, Italy, 25-29 September 2006). Proceedings, pp. 381 - 393. S. Nolfi, G. Baldassarre, R. Calabretta, J. Hallam, D. Marocco, O. Miglino, J.-A. Meyer, D. Parisi (eds.). (Lecture Notes in Artificial Intelligence, vol. 4095). Springer, 2006.
Ognibene D., Baldassarre G. Apprendimento per rinforzo e codifica tramite popolazione neurale: un modello per il reaching applicato a due task. In: WIVA 3 - Terzo Workshop Italiano di Vita Artificiale 2006 (Siena, 13-15 Settembre 2006). Atti, A. Acerbi, S. Giansante, D. Marocco (eds.). Centro Sistemi Complessi, 2006.
Ognibene D., Mannella F., Pezzulo G., Baldassarre G. Integrating reinforcement-learning, accumulator models and motor-primitives to study action selection and researching in monkeys. In: ICCM-06 - Seventh International Conference on Cognitive Modeling (Trieste, 5-8 April 2006). Proceedings, pp. 214 - 219. D. Fum, F. Del Missier, A. Stocco (eds.). Edizioni Goliardiche, 2006.
Pezzulo G., Baldassarre G., Butz M., Castelfranchi C., Hoffman J. An analysis of the ideomotor principle and TOTE. In: ABiALS2006 - Third Workshop on Anticipatory Behavior in Adaptive Learning Systems (Roma, 30 September 2006). Proceedings, article n. .. M.V. Butz, O. Sigaud, G. Pezzulo, G. Baldassarre (eds.). Istituto di Scienze e Tecnologie della Cognizione - CNR, 2006.
Pezzulo G., Baldassarre G., Falcone R., Castelfranchi C. The anticipatory nature of representations. In: ASAI50 - 50th Anniversary Summit of Artificial Intelligence (Monte Verità, Ascona, Switzerland, 9-14 July 2006). Proceedings, article n. .. , 2006.
Rega A., Ognibene D., Gigliotta O., Baldassarre G. Un sistema robotico occhio-braccio per lo studio dei processi neurali sottostanti a compiti di reaching costruito presso il LARAL. In: WIVA3 - Terzo Workshop Italiano di Vita Artificiale (Siena, 13-15 Settembre 2006). Atti, article n. .. A. Acerbi, S. Giansante D. Marocco (eds.). Centro Sistemi Complessi, 2006.
Schembri M., Baldassarre G. A pilot study on the evolution of reward signals for hierarchical reinforcement learning. In: WIVA3 - Terzo Workshop Italiano di Vita Artificiale (Siena, Italy, 13-15 September 2006). Atti, article n. .. A. Acerbi, S. Giansante, D. Marocco (eds.). Centro Sistemi Complessi, 2006.
Sperati V., Baldassarre G. Usare l'entropia come indice per evolvere una coppia di robot simulati in grado di esibire comportamenti auto-organizzati. In: AISC 2006 - Terzo Convegno Nazionale dell'Associazione Italiana di Scienze Cognitive (Genova, 26-27 Ottobre 2006). Atti, pp. 147 - 152. A. Greco, C. Penco, G. Sandini, R. Zaccaria (eds.). Erga Edizioni, 2006.
Zappacosta S., Baldassarre G., Nolfi S. Elman neural networks and time integration for object recognition. In: WIVA3 - Terzo Workshop Italiano di Vita Artificiale (Siena, Italy, 13-15 September 2006). Atti, article n. .. A. Acerbi, S. Giansante, D. Marocco (eds.). Centro Sistemi Complessi, 2006.
*2005*
Baldassarre G. Analisi quantitative dell'auto-organizzazione in gruppi di robot simulati. In: Secondo Workshop Italiano di Vita Artificiale (Roma, Italy, 2-5 Marzo 2005). Atti, Baldassarre G., Marocco D. Mirolli M (eds.). 2005.
Baldassarre G., Parisi D., Nolfi S. Sciami di robot che esplorano un ambiente collinoso. In: Secondo Workshop Italiano di Vita Artificiale (Roma, Italy, 2-5 Marzo 2005). Atti, Baldassarre G., Marocco D. Mirolli M (eds.). 2005.
Ferrauto T., Baldassarre G., Di Stefano G., Parisi D. Emergenza della specializzazione in gruppi di robot simulati. In: Secondo Workshop Italiano di Vita Artificiale (Roma, Italy, 2-5 Marzo 2005). Atti, Baldassarre G., Marocco D. Mirolli M (eds.). 2005.
Mannella F., Baldassarre G. Alla ricerca del centro: un modello della navigazione nei pulcini. In: Secondo Workshop Italiano di Vita Artificiale (Roma, Italy, 2-5 Marzo 2005). Atti, Baldassarre G., Marocco D. Mirolli M (eds.). 2005.
*2004*
Baldassarre G., Parisi D., Nolfi S. Coordinamento distribuito mediante auto-organizzazione. In: AISC2 - Secondo Convegno Nazionale dell'Associazione Italiana di Scienze Cognitive (Ivrea (TO), Italy, 19-20 Marzo 2004). Atti, Ivrea: Interaction Design Institute, 2004.
Baldassarre G., Parisi D., Nolfi S. Coordination and behavior integration in cooperating simulated robots. In: SAB2004 - From animals to animats 8. Proceedings of the Eighth International Conference on the Simulation of Adaptive Behavior (Los Angeles, 13-17 July 2004). Proceedings, pp. 385 - 394. S. Schaal, A. Ijspeert, A. Billard, S. Vijayak, J. Hallam, J.-A.Meyer (eds.). (Complex Adaptive Systems). MIT Press, 2004.
Baldassarre G., Parisi D., Nolfi S. Measuring coordination as entropy decrease in groups of linked simulated robots. In: ICCS2004 - Fifth International Conference on Complex Systems (Boston, MA USA, 16-21 May 2004). Proceedings, pp. e1 - 14. The New England Complex Systems Institute, 2004.
*2003*
Baldassarre G., Nolfi S., Parisi D. Conformismo ed indipendenza sociale per il controllo di robot simulati in compiti collettivi. In: Congresso nazionale della sezione di psicologia sperimentale (Bari, Italy, 22-25 Settembre 2003). Atti, pp. 92 - 94. Bellelli Guglielmo (ed.). Bari: Grafica 080, 2003.
Baldassarre G., Nolfi S., Parisi D. Evolution of collective behaviour in a team of physically linked robots. In: EvoROB2003 - Applications of Evolutionary Computing - EvoWorkshops 2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, and EvoSTIM. Proceedings (Essex, UK, 14-16 April 2003). Proceedings, pp. 581 - 592. G. Raidl, A. Guillot, J.-A. Meyer (eds.). (Lecture Notes in Computer Science, vol. 2611). Springer, 2003.
Baldassarre G., Nolfi S., Parisi D. Metodi evolutivi per il controllo di gruppi di robot simulati: emergenza di ruoli dinamici di leader e follower. In: Congresso nazionale della sezione di psicologia sperimentale (Bari, Italy, 22-25 Settembre 2003). Atti, pp. 95 - 97. Bellelli Guglielmo (ed.). Bari: Grafica 080, 2003.
*2002*
Baldassarre G. A biologically plausible model of human planning based on neural networks and Dyna-PI models. In: ABiALS-2002 - Workshop on Adaptive Behaviour in Anticipatory Learning Systems (Edinburgh, UK, 11 August 2002). Proceedings, pp. 40 - 60. M. Butz, O. Sigaud, P. Gerard (eds.). -, 2002.
Baldassarre G. Orientamento spaziale nei gerbilli: una predizione sperimentale con un modello connessionistico. In: Congresso nazionale della sezione di psicologia sperimentale (Rimini, Italy, 16-18 Settembre 2002). Atti, pp. 67 - 70. Garotti Pier Luigi (ed.). Bologna: Edizioni Nautilus, 2002.
Nolfi S., Baldassarre G., Marocco D. The importance of viewing cognition as the result of emergent processes occurring at different time scales. In: HART2002 - The Third International Symposium on Human and Artificial Intelligent Systems: Dynamic Systems Approach for Embodiment and Sociality (Fukui, Japan, 6-7 December 2002). Proceedings, pp. 63 - 76. T. Asakura, K. Murase i (eds.). Fukui University Press, 2002.
*2001*
Baldassarre G. A modular neural-network model of the basal ganglia's role in learning and selecting motor behaviours. In: ICCM-2001 - Proceedings of the 2001 Fourth International Conference on Cognitive Modeling (Fairfax, VA, USA, 26-28 July 2001). Proceedings, pp. 37 - 42. E.M. Altmann, A. Cleermans, C.D. Schunn, W.D. Gray (eds.). Erlbaum, 2001.
Baldassarre G. A planning modular neural-network robot for asynchronous multi-goal navigation tasks. In: EUROBOT'2001 - The 2001 Fourth European Workshop on Advanced Mobile Robots (Lund, Sweden, 19-21 September 2001). Proceedings, pp. 223 - 230. K.O. Arras, A. Baerveldt, C. Balkenius, W. Burgard, R. Siegwart (eds.). (Lund University Cognitive Studies, vol. 86). Lund University, 2001.
Baldassarre G. Coarse Planning for Landmark Navigation in a Neural-Network Reinforcement Learning Robot. In: IROS2001 - 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Proceedings (Maui, Hawaii, USA, 29 October - 3 November 2001). Proceedings, pp. 2398 - 2403. IEEE, 2001.
Baldassarre G. Limiti di efficacia temporale del condizionamento operante: un modello connessionistico. In: Congresso nazionale della sezione di Psicologia sperimentale (Alghero, Italia, 23-25 Settembre 2001). Atti, pp. 59 - 61. Pinna Biagino (ed.). EDES Editrice Democratica Sarda, 2001.
*2000*
Baldassarre G., Parisi D. Classical and instrumental conditioning: From laboratory phenomena to integrated mechanisms for adaptation. In: SAB2000 - From Animals to Animats 6: Proceedings of the Sixth International Conference on the Simulation of Adaptive Behaviour (Paris, France, 11-16 September 2000). Proceedings, pp. 131 - 139. J.-A. Meyer, A. Berthoz, D. Floreano, H. Roitblat, S.W. Wilson (eds.). MIT Press, 2000.
Baldassarre G. Needs and motivations as mechanisms of learning and control of behaviour: Interference problems with multiple tasks. In: Cybernetics and Systems 2000: Proceedings of the Fifteenth European Meeting on Cybernetics and Systems Research (Vienna, Austria, 25-28 April 2000). Proceedings, pp. 677 - 682. R. Trappl (ed.). Austrian Society for Cybernetic Studies, 2000.
*1999*
Baldassarre G., Parisi D. Trial-and-error learning, noise and selection in cultural evolution - A study through artificial life simulations. In: AISB'99 - Symposium on Imitation in Animals and Artifacts (Edinburgh, UK, 6-9 April 1999). Proceedings, pp. 32 - 37. K. Dautenhahn, C. Nehaniv (eds.). The Society for the Study of Artificial Intelligence and Simulation of Behaviour, 1999.
*1996*
Baldassarre G. Simulations of oligopolistic markets with artificial agents: Decision procedures as emergent properties of adaptive learning. In: Third European Congress on Systems Science (Roma, 1-4 October 1996). Proceedings, pp. 175 - 179. E. Pessa, P. Penna, A.Montesanto (eds.). Edizioni Kappa, 1996.
Editorials
*2013*
Baldassarre G., Mirolli M. Computational and Robotic Models of the Hierarchical Organization of Behavior: An Overview. pp. 1 - 10. G. Baldassarre, M. Mirolli (eds.). Springer, 2013.
Baldassarre G., Mirolli M. Intrinsically Motivated Learning Systems: An Overview. pp. 1 - 14. G. Baldassarre, M. Mirolli (eds.). Springer, 2013.
*2009*
Pezzulo G., Butz M., Sigaud O., Baldassarre G. Anticipatory Behavior in Adaptive Learning Systems: From Psychological Theories to Artificial Cognitive Systems. vol. Vol. 5499 pp. XI - 335. G. Pezzulo, M.V. Butz, O. Sigaud, G. Baldassarre (eds.). Springer, 2009.
Pezzulo G., Butz M. V., Sigaud O., Baldassarre G. From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems. pp. 1 - 9. G. Pezzulo, M. V. Butz, O. Sigaud, G. Baldassarre (eds.). Springer, 2009.
*2007*
Butz M., Sigaud O., Pezzulo G., Baldassarre G. Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems. pp. 1 - 18. M.V. Butz, O. Sigaud, G. Pezzulo, G. Baldassarre (eds.). Springer, 2007.
*2006*
Baldassarre G., Marocco D., Mirolli M. Editoriale: La Via Italiana alla Vita Artificiale. vol. 18 (1) pp. 3 - 6. La via italiana alla vita artificiale. G. Baldassare, D. Marocco, M. Mirolli (eds.). Il Mulino, 2006.
Nolfi S., Baldassarre G., Calabretta R., Hallam J., Marocco D., Meyer J., Miglino O., Parisi D. From Animals to Animats 9. 9th International Conference on Simulation of Adaptive Behavior, SAB 2006. Proceedings. p. .. S. Nolfi, G. Baldassarre, R. Calabretta, J. Hallam, D. Marocco, O. Miglino, J.-A. Meyer, D. Parisi (eds.). Springer, 2006.
Technical reports
*2016*
Caligiore D., Sperati V., Baldassarre G. Project web-site and logo. Deliverable D5.1 of the EU-funded Project "GOAL-Robots - Goal-based Open-ended Autonomous Learning Robots", Call identifier H2020-FETOPEN-2014-2015-RIA Grant Agreement n. 713010. Technical report, 2016.
*2013*
Baldassarre G., Mirolli M., Visalberghi E., Guglielmelli E., Keller F., Redgrave P., Gurney K., McGuinnity M., Triesch J., Lee M., Schmidhuber J., Barto A. A digest of the main insights and achievements of the project IM-CLeVeR - Intrinsically Motivated Cumulative Learning Versatile Robots. This document is directed to illustrate the main achievements and insights gained by the IM-CLeVeR project, a project funded by the European Commission under the 7th Framework Programme (FP7/2007-2013). Technical report, 2013.
Baldassarre G., Mirolli M., Visalberghi E., Guglielmelli E., Keller F., Redgrave P., Gurney K., McGuinnity M., Triesch J., Lee M., Schmidhuber J., Barto A. Final report key contents: main results accomplished by the EU-Funded project IM-CLeVeR - Intrinsically Motivated Cumulative Learning Versatile Robots. This document has the goal of presenting the main scientific and technological achievements of the project IM-CLeVeR, a project funded by the European Commission under the 7th Framework Programme (FP7/2007-2013). Technical report, 2013.
Baldassarre G., Santucci V. G., Mirolli M., Visalberghi E., Guglielmelli E., Keller F., Redgrave P., Gurney K., McGuinnity M., Triesch J., Lee M., Schmidhuber J., Barto A. The Project IM-CLeVeR - Intrinsically Motivated Cumulative Learning Versatile Robots: A Tool-box for Research on Intrinsic Motivations and Cumulative Learning. The goal of this paper is to furnish a tool-box for research on intrinsic motivations and cumulative learning based on the main ideas produced within the Integrated Project "IM-CLeVeR - Intrinsically Motivated Cumulative Learning Versatile Robots". Technical report, 2013.
*2011*
Chandrashekhariah P., Dimitrakakis C., Lonini L., Rothkopf C., Spina G., Triesch J., Ognibene D., Baldassarre G., Cope A., Chambers J., Gurney K., Gatsoulis Y., Burbridge C., Riano L., Ratnasingam S., Condell J., McGinnity M., Shaw P., Law J., Lee M., Frank M., Förster A., Schmidhuber J., Kompella V., Luciw M., Ciresan D., Meier U., Masci J., Migliore D., Pape L., Ring M., Gomez F., Graziano V. Perceptual abstraction and attention. Deliverable D4.1 of the EU-funded Integrated Project "IM-CLeVeR - Intrinsically Motivated Cumulative Learning Versatile Robots", contract n. FP7-ICT-IP-231722. Technical report, 2011.
Gatsoulis Y., McGinnity M., Kerr E., Condell J., Siddique N., Burbridge C., Riano L., Ratnasingam S., Mirolli M., Santucci V. G., Baldassarre G., Barto A., Singh S., Lewis R., Stout A., Sorg J., Dimitrakakis C., Rothkopf C., Triesch J., Shah A., Gurney K., Lee M., Law J., Huelse M., Shaw P., Ring M., Cuccu G., Luciw M., Gomez F., Graziano V., Ngo H., Migliore D., Schaul T., Pape L., Yi S., Schmidhuber J. Novelty detection and learning drives. Deliverable D5.1 of the EU-funded Integrated Project "IM-CLeVeR - Intrinsically Motivated Cumulative Learning Versatile Robots", Contract n. FP7-ICT-IP-231722. Technical report, 2011.
Law J., Lee M., Shaw P., Huelse M., Caligiore D., Mannella F., Fiore V., Sperati V., Mirolli M., Baldassarre G., Barto A., Vigorito C., Konidaris G., Botvinick M., Niv Y., Dimitrakakis C., Lonini L., Toutounji H., Rothkopf C., Triesch J., Ring M., Schaul T., Kompella V., Pape L., Schmidhuber J., Formica D., Taffoni F., Keller F., Guglielmelli E., Lewis J., Chambers J., Redgrave P., Gurney K., Gatsoulis Y., Kerr E., Das G., Riano L., Condell J., Siddique N., McGinnity M. Hierarchical architectures. Deliverable D6.1 of the EU-funded Integrated Project "IM-CLeVeR - Intrinsically Motivated Cumulative Learning Versatile Robots", contract no. FP7-ICT-IP-231722. Technical report, 2011.
Stafford T., Thirkettle M., Gurney K., Redgrave P., Formica D., Schiavone G., Taffoni F., Keller F., Guglielmelli E., Mirolli M., Baldassarre G., Polizzi Di Sorrentino E., Truppa V., Sabbatini G., Natale F., Visalberghi E. Empirical experiments on intrinsic motivations and action acquisition: results, evaluation, and redefinition. Deliverable D3.2 of the EU-funded Integrated Project "IM-CLeVeR - Intrinsically Motivated Cumulative Learning Versatile Robots", contract n. FP7-ICT-IP-231722. Technical report, 2011.
*2007*
Ferrauto T., Ognibene D., Caligiore D., Baldassarre G. A user interface for physical engine robot simulators. Technical report Technical Report LARAL-ISTC-CNR-2007/001, 2007.
*2006*
Schembri M., Baldassarre G. Evolving reinforcement signals to learn macro actions useful for different navigation tasks. Technical report Technical Report LARAL-ISTC-CNR-2006/002, 2006.
Zappacosta S., Baldassarre G., Nolfi S. Elman neural networks and time integration for object recognition. Technical report Technical Report LARAL-ISTC-CNR-2006/001, 2006.
*1998*
Baldassarre G., Parisi D. Visual attention: early and late selection. Technical report, 1998.
*1997*
Baldassarre G. Classifier systems e reti neurali. Technical report, 1997.
Baldassarre G. Verso uno studio integrato della mente e del cervello. Technical report, 1997.
Dissertations
*2002*
Baldassarre G. Planning with neural networks and reinforcement learning. Department of Computer Science, University of Essex. Ph.D. Dissertation, 2002.
*1997*
Baldassarre G. Apprendimento per rinforzo e coordinazione sensomotoria. Universita' di Roma "La Sapienza". Thesis, 1997.
Baldassarre G. Reti neurali ed algoritmi genetici per i modelli simulativi di teoria della razionalità limitata - Applicazioni ai mercati oligopolistici. Universita' di Roma "La Sapienza". Thesis, 1997.
Abstracts
*2017*
Mustile M., Fineschi A., Romano L., Caligiore D., Assogna F., Pontieri F. E., Piras F., Spalletta G., Baldassarre G. Action observation therapy and Parkinson's disease patients: a double blind controlled study. In: RIO Group 2017 - Annual Research in Imagery and Observation Group Meeting (University of Roehampton, London, UK, 18-19 May 2017).
*2016*
Caligiore D., Mannella F., Baldassarre G. Modelli neuro-computazionali di sistema per studiare il tremore nel morbo di Parkinson e testare terapie alternative. In: Convegno Italiano AIP-ISTC Le nuove tecnologie e il valore sociale della ricerca psicologica (Roma, 19 Settembre 2016).
Özcan B., Caligiore D., Fosch Villaronga E., Sperati V., Moretta T., Baldassarre G. Designing Socially Assistive Robot (SAR) for Cognitive Child-Robot Interaction (CCRI) with Autism Spectrum Disorder - The Case of "+Me". In: New Friends 2016: The 2nd International Conference on Social Robots in Therapy & Education (Barcelona, 2-4 November 2016).
*2015*
Baldassarre G., Mannella F., Santucci V. G., Sperati V., Caligiore D., Cartoni E., Da Silva B. C., Mirolli M. Open-ended learning of skills in robots: insights from looking at the brain. In: RLDM2015 - The Second Multidisciplinary Conference on Reinforcement Learning and Decision Making (Edmonton, Alberta, Canada, 7-10 June 2015). Abstract, pp. e1 - 5. University of Alberta, 2015.
Seepanomwan K., Caligiore D., Cangelosi A., Baldassarre G. The role of intrinsic motivations in the development of tool use: a study in infant robots. In: ICSC 2015 - Sixth International Conference on Spatial Cognition: Space and Situated Cognition (Rome, Italy, 7-11 September 2015). Abstract, vol. 16 pp. S100 - S100. T. Hunefeldt, M. Olivetti Belardinelli (eds.). (Cognitive Processing). Springer, 2015.
*2014*
Cartoni E., Moretta T., Baldassarre G. Speciﬁc Pavlovian-instrumental transfer: relationship with instrumental reward probabilities. In: SBDM 2014 - Fourth Symposium on Biology of Decision Making, 2014 (Paris, France, 26-28 May 2014).
Castro Da Silva B., Baldassarre G., Konidaris G., Barto A. Learning parameterized motor skills on a humanoid robot. In: ICRA2014 - 2014 IEEE International Conference on Robotics and Automation (ICRA) (Hong Kong, China, 31 May - 5 June 2014).
Mannella F., Baldassarre G. Learning and selecting actions: a computational model of the basal-ganglia cortical dynamic interplay. In: SBDM 2014 - Fourth Symposium on Biology of Decision Making, 2014 (Paris, France, 26-28 May 2014).
*2013*
Baldassarre G. What are intrinsic motivations? A biological and computational perspective. In: Dagstuhl Seminar - Mechanisms of Ongoing Development in Cognitive Robotics (Dagstuhl, Germany, 11-15 February 2013). Abstract, vol. 3(2) pp. 60 - 61. J. Fagard, R.A.Grupen, F. Guerin, N. Krüger (eds.). (Dagsthul Reports, vol. 13072). Schloss Dagstuhl, Leibniz-Zentrum für Informatik, Dagstuhl Publishing, 2013.
Caligiore D., Mannella F., Pezzulo G., Miall C., Baldassarre G. Subcortical involvement in action understanding. In: ESF-FENS The Brain Conferences - ESF-FENS The Brain Conferences ''The Neurobiology of Action'' (Stresa, Italy, 20-24 October 2013).
Cartoni E., Mannella F., Puglisi-Allegra S., Baldassarre G. A Bayesian model for a Pavlovian-instrumental transfer hypothesis. In: RLDM2013 - The First Multidisciplinary Conference on Reinforcement Learning and Decision Making (Princeton, NJ, USA, 25-27 October 2013). Abstract, pp. e1 - 5. University of Princeton, 2013.
Cipriani D., Caligiore D., Baldassarre G., Triesch J., De Marsico M. OGTA: Open gaze tracker and analyzer a remote low cost system based on off-the-shelf components and open source modular software. In: ECEM - The 17th European Conference on Eye Movements (Lund, Sweden, 11-16 August 2013).
Cipriani D., Caligiore D., Baldassarre G., Rothkopf C., Triesch J., De Marsico M. OGTA: Open gaze tracker and analyzer a remote low cost system based on off-the-shelf components and open source modular software. In: Journal of Eye Movement Research. Abstract, vol. 6 (3) pp. 550 - 550. K. Holmqvist, F. Mulvey, R. Johansson (eds.). International Group for Eye Movement Research, 2013.
Mannella F., Baldassarre G. The interaction between basal ganglia and cortex during action learning and selection: a computational model. In: ESF-FENS - ESF-FENS The Brain Conferences ''The Neurobiology of Action'' (Stresa, Italy, 20-24 October 2013).
Sparro M., Baldassarre G., Galli G., Scivoletto G., Molinari M., Pazzaglia M. Action and body representations in spinal-cord injured individuals: behavioural results and neural hypothesis based on a computational model. In: SINP2013 - Congresso Annuale 2013 della della Societa' Italiana di NeuroPsicologia (Milano, Italy, 5-16 November 2013).
*2011*
Baldassarre G., Mannella F., Fiore V. G., Sperati V., Caligiore D., Mirolli M., Shaw P., Law J., Lee M., Taffoni F., Formica D., Keller F., Guglielmelli E. An experiment and a bio-constrained model of children's action-outcome learning driven by intrinsic motivations. In: ICDL-EPIROB 2011 - IEEE International Conference on Development and Learning and on Epigenetic Robotics (Frankfurt am Main, 24-27 August 2011). Abstract, article n. e1-2. IEEE Xpress, 2011.
Caligiore D., Borghi A. M., Parisi D., Ellis R., Cangelosi A., Baldassarre G. Affordances of distractors and compatibility effects: a study with the computational model TRoPICALS. In: CoSyNe 2011 - Computational and Systems Neuroscience 2011 (Salt Lake City, UT, USA, 24-28 February 2011). Abstract, 2011.
Caligiore D., Baldassarre G. Un modello neuro-computazionale per spiegare lo sviluppo del reaching nel bambino. In: XXIV Congresso Nazionale dell'Associazione Italiana di Psicologia - Sezione di Psicologia dello Sviluppo e dell'Educazione (Genova, Italy, 19-21 Settembre 2011). Abstract, pp. 302 - 303. AIP, 2011.
Mannella F., Mirolli M., Baldassarre G. A system-level neural model of the brain mechanisms underlying instrumental devaluation in rats. In: COSYNE 2011 - Computational and Systems Neuroscience (Salt Lake City, UT, USA, 24-28 February 2011). Abstract, article n. 1. Nature Precedings, 2011.
*2010*
Baldassarre G., Mirolli M. Reply and Summary: On the Open Challenges for Understanding Cumulative Learning. In: AMD Newsletters The Newsletters of the Autonomous Mental Development Technical Committee. Abstract, vol. 7 (2) pp. 8 - 9. IEEE, 2010.
Baldassarre G., Mirolli M. What are the key open challenges for understanding the autonomous cumulative learning of skills?. In: AMD Newsletters The Newsletters of the Autonomous Mental Development Technical Committee. Abstract, vol. 77 (1) pp. 11 - 12. IEEE, 2010.
Chersi F., Mirolli M., Gurney K., Redgrave P., Baldassarre G. Goal-directed motor sequence learning based on multiple basal ganglia-cortical loops. In: Neuroscience 2010 - 40th Annual Meeting of the Society for Neuroscience (San Diego, USA, 13-17 November 2010). Abstract, article n. 1. Society for Neuroscience, 2010.
Fiore V. G., Mannella F., Mirolli M., Cabib S., Puglisi-Allegra S., Baldassarre G. A computational model of dopamine and norepinephrine dynamics in rats exposed to prolonged, inescapable stress. In: Neuroscience 2010 - 40th Annual Meeting of the Society for Neuroscience (San Diego, USA, 13-17 November 2010). Abstract, article n. 1. Society for Neuroscience, 2010.
*2009*
Fiore V. G., Mannella F., Mirolli M., Cabib S., Puglisi-Allegra S., Baldassarre G. A computational model of stress coping in rats. In: BCCN 2009 - Bernstein Conference on Computational Neuroscience 2009 (Frankfurt am Main, Germany, 30 September - 2 October 2009). Abstract, article n. 1. Frankfurt Institute for Advanced Studies, 2009.
Gaudiello I., Caligiore D., Schiavone G., Salerno A., Sergi F., Zollo L., Guglielmelli E., Parisi D., Baldassarre G., Nicoletti R., Borghi A. M. Effects on space representation of using a tool and a button. In: Cognitive Processing. Abstract, vol. 10 (2) pp. 153 - 154. Springer, 2009.
Mannella F., Mirolli M., Baldassarre G. A computational model of goal-driven behaviours and habits in rats. In: Frontiers in Computational Neuroscience. Bernstein Conference on Computational Neuroscience (Frankfurt am Main, Germany, 30 September - 2 October 2009). Abstract, article n. 1. Zhu J., Krieg D (eds.). Bernstein Focus Neurotechnology, 2009.
*2008*
Caligiore D., Parisi D., Baldassarre G. Compatibility effects and affordances: a neural-network computational model. In: Workshop on Concepts, Actions, and Objects: Functional and Neural Perspectives (Rovereto, Italy, 24-27 April 2008). Abstract, p. 1. Univerità degli Studi di Trento, 2008.
Mannella F., Mirolli M., Baldassarre G. Computational principles underlying the functioning of amygdala in the affective regulation of behaviour. In: workshop on "The role of emotion in adaptive behaviour and cognitive robotics". (Osaka, Japan, 11-12 July 2008).