Adaptive Multi-Agent Systems

Individual Study during the PhD Programme

 

1. Introduction in Intelligent Agents and Multi-Agent Systems (MAS)

1.1 Agents, Intelligent Agents, Multi-Agent Systems Definitions

1.2 Fundamental Models

1.3 Links with other Disciplines

 

2. Basic Architectures of MAS

2.1 Reactive Agent Architecture

2.2 Cognitive Agent Architecture, BDI Architectural Model

2.3 Hybrid Architectures

 

3.  Agent Oriented Programming (AOP)

3.1 Agent Oriented Programming Principles

3.2 Agent Oriented Languages

3.3 Agent Oriented Software Engineering

 

4. Multi-Agent Planning Mechanisms

4.1 Mono-Agent Planning

4.2 Multi-Agent Planning, including the Model PGP/GPGP

4.3 Joint Intentions Model

 

5. Communication Mechanisms between Agents

5.1 Messages and Table Type Structures Communication

5.2 High Level Communication between Cognitive Agents

5.3 Speech Act Theory

5.4 KQML – Syntax, Semantics

5.5 FIPA ACL – Syntax, Semantics

 

6. Negotiation Techniques

6.1 Negotiation Models based on Game Theory

6.2 Auctions

6.3 Equilibrium Market Mechanisms

6.4 Contract Net Model

6.5 Heuristic Negotiation Models


7. Multi-Agent Learning

7.1 Reinforcement Learning – General Principles

7.2 Reinforcement Learning in MAS

7.3 Other Learning Models in MAS

 

 

Bibliography

1.     M. Wooldridge. An Introduction to Multiagent Systems. John Wiley and Sons, 2002.

2.     G. Weiss (ed.). Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. MIT Press, 1999.

3.     The Belief-Desire-Intention Model of Agency, Michael Georgeff, Barney, Pell Martha, Pollack Milind Tambe, Michael Wooldridge

4.     Intelligent Agents: Theory and Practice M. Wooldridge and N.R. Jennings, The Knowledge Engineering Review, Vol 10 (2), pp.115-152, 1995.

5.     The Pittfalls of Agent-Oriented Development, Mike Wooldridge and Nick Jenning, proceedings of the Second Conference on Autonomous Agents (Agents'98), May 1998.

6.     A survey of Agent-Oriented Software Engineering (2001)  Amund Tveit http://citeseer.ist.psu.edu/tveit01survey.html

7.    F. Zambonelli, N. R. Jennings, A. Omicini and M. Wooldridge (2001) "Agent-Oriented Software Engineering for Internet Applications" in Coordination of Internet Agents (eds. A. Omicini, F. Zambonelli, M. Klusch and R. Tolksdorf) Springer Verlag, 326-346.

8.     BDI agents: From theory to practice, A. S. Rao and M. P. Georgeff, Tech. Rep. 56, Australian Artificial Intelligence Institute, Melbourne, Australia, Apr 1995.

9.     Agent Communication Languages: Rethinking the Principles, M.P. Singh, IEEE Computer, volume 31, number 12, December 1998, pages 40-47.

10.  Commitments and Conventions: The Foundation of Coordination in Multi-Agent Systems , N. R. Jennings, The Knowledge Engineering Review, 8 (3), 1993, 223-250.

11.  Partial Global Planning: A Coordination framework for Distributed Hypothesis Formation. Durfee, IEEE-SMC 21(5) 1991

12.  Lesser, V.; Decker, K.; Wagner, T.; Carver, N.; Garvey, A.; Horling, B.; Neiman, D.; Podorozhny, R.; NagendraPrasad, M.; Raja, A.; Vincent, R.; Xuan, P.; Zhang, X.Q.. Evolution of the GPGP/TAEMS Domain-Independent Coordination Framework. Autonomous Agents and Multi-Agent Systems, Volume 9, Number 1, Kluwer Academic Publishers, pp. 87-143. July 2004

13.  Negotiation in Multi-Agent Systems M. Beer, M. d'Inverno, M. Luck, N. R. Jennings, C.Preist and M. Schroeder, Knowledge Engineering Review 14 (3), 1999, 285-289.

14.  Automated negotiation: prospects, methods and challenges. N. R. Jennings, P. Faratin, A. R. Lomuscio, S. Parsons, C. Sierra and M. Wooldridge. Int. J. of Group Decision and Negotiation 10 (2), 2001.

15.  S. Sen, G. Weiss. Learning in Multiagent systems. In Multiagent Systems - A Modern Approach to Distributed Artificial Intelligence, G. Weiss (Ed.), The MIT Press, 2001, p.257-298.

16.  P. Stone, M. Veloso. Layered Learning, Eleventh European Conference on Machine Learning, ECML-2000.