'Autonomy', with 'interaction' the central issue of the new Agent-based AI paradigm, has to be recollected to the internal and external powers and resources of the Agent. Internal resources are specified by the Agent architecture (and by skills, knowledge, cognitive capabilities, etc.); external resources are provided (or limited) by accessibility, competition, pro-social relations, and norms. 'Autonomy' is a relational and situated notion: the Agent -as for a given needed resource and for a goal to be achieved- is autonomous from the environment or from other Agents. Otherwise it is 'dependent' on them. We present this theory of Autonomy (independence, goal autonomy, norm autonomy, autonomy in delegation, discretion, control autonomy, etc.) and we examine how acting within a group or organization reduces and limits the Agent autonomy, but also how this may provide powers and resources and even increase the Autonomy of the Agent.
Founding Autonomy: The Dialectics between (Social) Environment and Agents Architecture and Powers
Springer, Berlin , Germania
Lecture notes in computer science 2969 (2004): 40–54. doi:10.1007/978-3-540-25928-2_4
info:cnr-pdr/source/autori:Castelfranchi, C.; Falcone R./titolo:Founding Autonomy: The Dialectics between (Social) Environment and Agents Architecture and Powers/doi:10.1007/978-3-540-25928-2_4/rivista:Lecture notes in computer science/anno:2004/pagina_d