Using experience to generate new regulations

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2011, Pages 307-312

  Morales, Javier ^a,b   López Sánchez, Maite ^a   Esteva, Marc ^a  

^a UNIVERSITY OF BARCELONA   (Spain)

^b ARTIFICIAL INTELLIGENCE RESEARCH INSTITUTE IIIA CSIC   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BASED ON CASE-BASED REASONING; HEAVY TRAFFICS; MACHINE LEARNING TECHNIQUES;

MULTI AGENT SYSTEMS;

LEARNING SYSTEMS;

EID: 84872804388     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5591/978-1-57735-516-8/IJCAI11-061     Document Type: Conference Paper

References (18)

1. A. Aamodt and E. Plaza. Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI Commun., 7(1):39-59, 1994.
2. T. Agotnes and M. Wooldridge. Optimal Social Laws. In Proceedings of 9th International Conference on Autonomous Agents and Multiagent Systems, pages 667-674, 2010.
3. A. Artikis, D. Kaponis, and J. Pitt. Multi-Agent Systems: Semantics and Dynamics of Organisational Models, chapter Dynamic Specifications of Norm-Governed Systems. 2009.
4. G. Boella and L. van der Torre. Regulative and constitutive norms in normative multiagent systems. Proceedings of KR'04, pages 255-265, 2004.
5. L. Busoniu, R. Babuska, and B. de Schutter. A comprehensive survey of multiagent reinforcement learning. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 38(2):156-172, 2008.
6. J. Campos, M. López-Sánchez, and M. Esteva. Multi-Agent System adaptation in a Peer-to-Peer scenario. In ACM Symposium on Applied Computing - Agreement Technologies Track, pages 735-739, 2009.
7. G. Christelis and M. Rovatsos. Automated norm synthesis in an agent-based planning enviroment. In Autonomous Agents and Multiagent Systems (AAMAS), pages 161-168, 2009.
8. G. Christelis, M. Rovatsos, and R. Petrick. Exploiting Domain Knowledge to Improve Norm Synthesis. In Proceedings of he Ninth International Conference on Autonomous Agents and Multiagent Systems, pages 831-838, 2010.
9. K. Dresner and P. Stone. A multiagent approach to autonomous intersection management. Journal of Artificial Intelligence Research, 31:591-656, March 2008. (Pubitemid 351761997)
10. N. Griffiths and M. Luck. Norm Emergence in Tag-Based Cooperation. In 9th International Workshop on Coordination, Organization, Institutions and Norms in Multi-Agent Systems. 79-86, 2010.
11. J. Koeppen and M. López-Sánchez. Generating new regulations by learning from experience. In Proceedings of 9th workshop on Coordination, Organization, Institutions and Norms in Multi-agent Systems, pages 72-79, May 2010.
12. R. Kota, N. Gibbins, and N. Jennings. Decentralised structural adaptation in agent organisations. pages 54-71. AAMAS Workshop Organised Adaptation in MAS, 2008.
13. T. McCarty. Reflections on Taxman: An Experiment in Artificial Intelligence and Legal Reasoning. Harvard Law Review 837-93, 1977.
14. M.J. North, T.R. Howe, N.T. Collier, and J.R. Vos. Repast Simphony. In Agent Conf. Generative Social Processes, Models, and Mechanisms, 2005.
15. B.T.R. Savarimuthu, S. Cranefield, M. Purvis, and M. Purvis. Role model based mechanism for norm emergence in artificial agent societies. Lecture Notes in Computer Science, 4870:203-217, 2008.
16. Y. Shoham and M. Tennenholtz. On social laws for artificial agent societies: offline design. Journal of Artificial Intelligence, 73(1-2):231-252, February 1995.
17. W. van der Hoek, M. Roberts, and M. Wooldridge. Social laws in alternating time: Effectiveness, feasibility, and synthesis. Synthese, 1:156, 2007.
18. C. Zhang, S. Abdallah, and V. Lesser. Integrating organizational control into multi-agent learning. In Aut. Agents and Multiagent Syst. 757-764, 2009.