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Experiments with planning and markets in multiagent systems
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Volume 5 ,  Issue 1  (July 2004) table of contents
Pages: 34 - 47  
Year of Publication: 2004
Authors
Naveenkumar Muguda  North Carolina State University, Department of Computer Science, Raleigh, NC
Peter R. Wurman  North Carolina State University, Department of Computer Science, Raleigh, NC
R. Michael Young  North Carolina State University, Department of Computer Science, Raleigh, NC
Publisher
ACM  New York, NY, USA
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ABSTRACT

Mobile devices are hand-held devices used to deliver time sensitive and locale specific information to the users. Users of multi-user environments with limited resources can be enabled with agents running on mobile devices as assistants to improve their ability to plan activities in the space. This paper discusses experiments to characterize the benefits of planning in such an environment, particularly when the resources can be reserved and the reservations traded in a market. We observe that with tradable reservations the social welfare increases with increase in planning horizon. We also observe that tradable reservations and clairvoyance help the users satisfy their preferences and the constraints imposed by environment.


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.

 
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MAS-COLELL, A., WHINSTON, M. D., AND GREEN, J. R. 1995. Microeconomic Theory. Oxford University Press, Oxford.
 
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PRADO, J. E. AND WURMAN, P. R. 2002. Non-cooperative planning in multi-agent, resource-constrained environments with markets for reservations. In AAAI 2002 Workshop on Planning with and for Multiagent Systems. 60-66.
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SATTERTHWAITE, M. A. AND WILLIAMS, S. R. 1989. Bilateral trade with the sealed bid k-double auction: Existence and efficiency. Journal of Economic Theory 48, 107-133.
 
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WELLMAN, M. P. 1993. A market-oriented programming environment and its application to distributed multicommodity flow problems. Journal of Artificial Intelligence Research 1, 1-23.
 
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WELLMAN, M. P., WALSH, W. E., WURMAN, P. R., AND MACKIE-MASON, J. K. 2001. Auction protocols for decentralized scheduling. Games and Economic Behavior 35(1-2), 271-303.
 
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Collaborative Colleagues:
Naveenkumar Muguda: colleagues
Peter R. Wurman: colleagues
R. Michael Young: colleagues