The design of collectives of agents to control non-markovian systems

Proceedings of the National Conference on Artificial Intelligence

Volumn , Issue , 2002, Pages 332-337

  Lawson, John W ^a   Wolpert, David H ^a  

^a NASA AMES RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; LEARNING SYSTEMS; MARKOV PROCESSES; SIGNAL TO NOISE RATIO;

PAYOFF UTILITY FUNCTIONS;

MULTI AGENT SYSTEMS;

EID: 0036932158     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. Boutilier, C.; Shoham, Y.; and Wellman, M. P. 1997. Editorial: Economic principles of multi-agent systems. Artificial Intelligence Journal 94:1-6.
2. Bradshaw, J. M., ed. 1997. Software Agents. MIT Press.
3. Caldarelli, G.; Marsili, M.; and Zhang, Y. C. 1997. A prototype model of stock exchange. Europhysics Letters 40:479-484.
4. Fudenberg, D., and Tirole, J. 1991. Game Theory. Cambridge, MA: MIT Press.
5. Hu, J., and Wellman, M. P. 1998. Multiagent reinforcement learning: Theoretical framework and an algorithm. In Proceedings of the Fifteenth International Conference on Machine Learning, 242-250.
6. Huberman, B. A., and Hogg, T. 1988. The behavior of computational ecologies. In The Ecology of Computation. North-Holland. 77-115.
7. Jennings, N. R.; Sycara, K.; and Wooldridge, M. 1998. A roadmap of agent research and development. Autonomous Agents and Multi-Agent Systems 1:7-38.
8. Johnson, N. F.; Jarvis, S.; Jonson, R.; Cheung, P.; Kwong, Y. R.; and Hui, P. M. 1998. Volatility and agent adaptability in a self-organizing market. preprint cond-mat/9802177.
9. Kaelbing, L. P.; Littman, M. L.; and Moore, A. W. 1996. Reinforcement learning: A survey. Journal of Artificial Intelligence Research 4:237-285.
10. Sandholm, T.; Larson, K.; Anderson, M.; Shehory, O.; and Tohme, F. 1998. Anytime coalition structure generation with worst case guarantees. In Proceedings of the Fifteenth National Conference on Artificial Intelligence, 46-53.
11. Sen, S. 1997. Multi-Agent Learning: Papers from the 1997 AAAI Workshop (Technical Report WS-97-03). Menlo Park, CA: AAAI Press.
12. Sutton, R. S., and Barto, A. G. 1998. Reinforcement Learning: An Introduction. Cambridge, MA: MIT Press.
13. Sutton, R. S. 1988. Learning to predict by the methods of temporal differences. Machine Learning 3:9-44.
14. Sycara, K. 1998. Multiagent systems. AI Magazine 19(2):79-92.
15. Tumer, K., and Wolpert, D. H. 2000. Collective intelligence and Braess' paradox. In Proceedings of the Seventeenth National Conference on Artificial Intelligence, 104-109.
16. Watkins, C., and Dayan, P. 1992. Q-learning. Machine Learning 8(3/4):279-292.
17. Wellman, M. P. 1993. A market-oriented programming environment and its application to distributed multicommodity flow problems. In Journal of Artificial Intelligence Research.
18. Wolpert, D., and Lawson, J. 2002. Designing agent collectives for systems with markovian dynamics. In Proceedings of Autonomous Agents and MultiAgent Systems (AAMAS 2002). In press.
19. Wolpert, D. H., and Tumer, K. 1999. An Introduction to Collective Intelligence. Technical Report NASA-ARC-IC-99-63, NASA Ames Research Center. URL:http://ic.arc.nasa.gov/ic/projects/coin_pubs.html. To appear in Handbook of Agent Technology, Ed. J. M. Bradshaw, AAAI/MIT Press.
20. Wolpert, D. H., and Tumer, K. 2001. Optimal payoff functions for members of collectives. Advances in Complex Systems 4(2/3):265-279.
21. Wolpert, D. H.; Tumer, K.; and Frank, J. 1999. Using collective intelligence to route internet traffic. In Advances in Neural Information Processing Systems - 11, 952-958. MIT Press.
22. Wolpert, D. H.; Wheeler, K.; and Tumer, K. 2000. Collective intelligence for control of distributed dynamical systems. Europhysics Letters 49(6).
23. Wolpert, D. H. 2001a. Bounded-rationality game theory. preprint.
24. Wolpert, D. H. 2001b. The mathematics of collective intelligence. pre-print.
25. Zhang, Y. C. 1998. Modeling market mechanism with evolutionary games. Europhysics Letters.