Negotiation and cooperation in multi-agent environments (1997)
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| Venue: | Artificial Intelligence |
| Citations: | 106 - 5 self |
BibTeX
@ARTICLE{Kraus97negotiationand,
author = {Sarit Kraus},
title = {Negotiation and cooperation in multi-agent environments},
journal = {Artificial Intelligence},
year = {1997},
volume = {94},
pages = {79--97}
}
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Abstract
Automated intelligent agents inhabiting a shared environmentmust coordinate their activities. Cooperation { not merely coordination { may improve the performance of the individual agents or the overall behavior of the system they form. Research in Distributed Arti cial Intelligence (DAI) addresses the problem of designing automated intelligent systems which interact e ectively. DAI is not the only eld to take on the challenge of understanding cooperation and coordination. There are a variety of other multi-entity environments in which the entities coordinate their activity and cooperate. Among them are groups of people, animals, particles, and computers. We argue that in order to address the challenge of building coordinated and collaborated intelligent agents, it is bene cial to combine AI techniques with methods and techniques from a range of multi-entity elds, such as game theory, operations research, physics and philosophy. To support this claim, we describe some of our projects, where we have successfully taken an interdisciplinary approach. We demonstrate the bene ts in applying multi-entity methodologies and show the adaptations, modi cations and extensions necessary for solving the DAI problems.
