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Online learning about other agents in a dynamic multiagent system
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Source International Conference on Autonomous Agents archive
Proceedings of the second international conference on Autonomous agents table of contents
Minneapolis, Minnesota, United States
Pages: 239 - 246  
Year of Publication: 1998
ISBN:0-89791-983-1
Authors
Junling Hu  Artificial Intelligence Laboratory, University of Michigan, Ann Arbor, MI
Michael P. Wellman  Artificial Intelligence Laboratory, University of Michigan, Ann Arbor, MI
Sponsors
IEEE : Institute of Electrical and Electronics Engineers
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 10,   Downloads (12 Months): 61,   Citation Count: 20
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
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Caroline Claus and Boutilier Craig. The dynamics of reinforcement learning in cooperative multiagent systems, in Sen {13}.
 
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Edwin De Jong. Non-random exploration bonuses for online reinforcement learning. In Sen {13}.
 
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Daniel Friedman and John Rust, editors. The Double Auction Market. Addison-Wesley, 1993.
 
7
Piotr J. Gmytrasiewicz and Edmund H. Durfee. A rigorous, operational formalization of recursive modeling. In Proceedings of the First International Conference o/Multiagent Systems. AAAI Press, 1995.
 
8
Junling Hu and Michael P. Wellman. Self-fulfilUng bias in multiagent learning. In Proceedings of the Second International Conference on Multiagent Systems. AAAI Press, December 1996.
 
9
R. Preston McAfee and John McMillan. Auctions and bidding. Journal of Economic Literature, 25:699-738, 1987.
 
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11
Tuomas Sandholm and Fredrik Ygge. On the gains and losses of speculation in equilibrium markets. In Proceedings of the Sixteenth International Joint Con/erence on Artificial Intelligence, pages 632- 638, Nagoya, Japan, 1997.
 
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13
Sandip Sen, editor. Collected papers from the AAAI-97 workshop on multiagent learning. AAAI, AAAI Press, 1997.
 
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15
Hirofumi Uzawa. On the stability of Edgeworth barter process. International Economic Review, 3(2):218-232, May 1962.
 
16
Hal R. Varian. Microeconomic Analysis. W.W. Norton & Company, New York, third edition, 1992.
 
17
Jos~ M. Vidal and Edmund H. Durfee. The impact of nested agent models in an information economy. In Proceedings of the Second international Conference on Multiagent Systems. AAAI Press, December 1996.
 
18
Jos~ M. Vidal and Edmund H. Durfee. Agents learning about agents: A framework and analysis. In Sen {13}.
 
19
Gerhard Weiss, editor. Distributed Artificial Intelligence Meets Machine Learning: learning in multiagent environment. Springer, 1997. Seleted papers from ICMAS'96 Workshop LIOME and ECAI'96 workshop LDAIS.
 
20
Michael P. Wellman. A market-oriented prograsnming environment and its application to distributed multicommodity flow problems. Journal of Artificial Intelligence Research, 1:1-22, 1993.

CITED BY  20

Collaborative Colleagues:
Junling Hu: colleagues
Michael P. Wellman: colleagues