1. Intelligent agents, ontologies, simulation and environments for norm-regulated MAS Deliberative Normative Agents Ricardo Gralhoz Governance in Open Multi-Agent Systems

2. © LES/PUC-Rio Agenda Motivation Goals Reference (main) Deliberative Normative Agents: Principles and Architecture Conclusion

3. © LES/PUC-Rio Motivation Learning about Intelligent and Adaptive Agents for thesis Contribute on Intelligent Agents for norm- regulated MAS research area Contribute on and relation with the others areas on Governance in Open Multi-Agent Systems

4. © LES/PUC-Rio Goals Look at the problem of regulating multi-agent systems focusing on a normative approach with Deliberative Agent. Study, Analyze and Present a central paper and associate with another areas. Present questions and possible focus area for research.

5. © LES/PUC-Rio Reference (main) C Castelfranchi, F Dignum, CM Jonker, J Treur. Deliberative Normative Agents: Principles and Architecture - ATAL, 1999

6. © LES/PUC-Rio Deliberative Normative Agents Principles for Agents –Not only following norms, but also the possibility of ‘intelligent’ norm violation Architecture - Refinement of the Generic Agent Model [AAIJ00GAM] Norms can be communicated Norms can be adopted Norms can be used N Castelfranchi, Dignum, Jonker, Treur - Deliberative Normative Agents: Principles and Architecture

7. © LES/PUC-Rio Deliberative Normative Agents Introduction –If protocols are fixed, AGENTS can NOT react to an unpredictable changing environment. –If norms are hard-wired into the agent’s protocols AGENTS can NOT decide to violate. Solution: deliberative (autonomous ) normative agent. Castelfranchi, Dignum, Jonker, Treur - Deliberative Normative Agents: Principles and Architecture

8. © LES/PUC-Rio Deliberative Normative Agents Def.: Agents that have knowledge about norms and can choose to obey the norms or not. Norms influence the behavior of the agent? Yes, combined with Goals and Plans. Agent should be a cognitive agent. B, D, I... Castelfranchi, Dignum, Jonker, Treur - Deliberative Normative Agents: Principles and Architecture

9. © LES/PUC-Rio Architecture – Principles (I) Why? –Facilitate for applying the norms and subsequent combination of the result with the goals and plans, to determinate the behavior of the agent. How? –Norm-autonomous agent; 1) know that a norm exists in the society 2) adopt this norm 3) deliberatively follow 4) deliberatively violate Able to N Castelfranchi, Dignum, Jonker, Treur - Deliberative Normative Agents: Principles and Architecture

10. © LES/PUC-Rio Architecture – Principles (II) Castelfranchi, Dignum, Jonker, Treur - Deliberative Normative Agents: Principles and Architecture Adopt a Norm: deciding to generate goals and plans based on belief that exists that norm (does not necessarily imply to follow it). Norms are mental objects -mental representations entering the mental processing B, D, I N

11. © LES/PUC-Rio Architecture Top level within the agent Castelfranchi, Dignum, Jonker, Treur - Deliberative Normative Agents: Principles and Architecture

12. © LES/PUC-Rio Architecture Top level within the agent External Information received by communication or by observation (perception). If it is valuable, it is stored – Object Level. In Information processing, the process events involved are represented at a meta-level. Outgoing Information is generated : communication, initiated actions and observations. Castelfranchi, Dignum, Jonker, Treur - Deliberative Normative Agents: Principles and Architecture

13. © LES/PUC-Rio Architecture Ex: has_society_type(society1, heterogeneous) has _norm(society1, you_ought_to_drive_on_the_right) belief(has_norm(society1, you_ought_to_drive_on_the_right), pos) Castelfranchi, Dignum, Jonker, Treur - Deliberative Normative Agents: Principles and Architecture belief normative belief N

14. © LES/PUC-Rio Architecture Top level within Own Process Control Castelfranchi, Dignum, Jonker, Treur - Deliberative Normative Agents: Principles and Architecture

15. © LES/PUC-Rio Norms and Behaviour About Norms : represented by mental objects entering the mental processing, that interact with Beliefs, Goals and Plans. when adopted, impact behaviour governing. How? –goal generation ; –goal selection (by criteria about managing and selecting existing goals); –plan generation ; –plan selection (by criteria about managing and selecting existing plans); G B P N N

16. © LES/PUC-Rio Conclusion (I) Discussion Not much theory available to incorporate norms into the behaviour Reputation (incoming communication) Different kinds of normative social control Different kinds of normative ‘personalities’ in agents

17. © LES/PUC-Rio Conclusion (II) Questions How to assign the preferences or weights on the behaviour governing? How to change the preferences? How to check whether a behaviour is or is not conform the norm? Other questions..

18. © LES/PUC-Rio Conclusion (III) Complete Reference –C Castelfranchi, F Dignum, CM Jonker, J Treur. Deliberative Normative Agents: Principles and Architecture - ATAL, 1999 –Brazier, F.M.T., Jonker, C.M., and Treur, J. (1999). Compositional Design and Reuse of a Generic Agent Model. In; B. Gaines, M. Musen (eds.). Proceedings of the Knowledge [AAIJ00GAM] –...