Effects of Local Information on Group Behavior

Shounak Roychowdhury, Neeraj Arora, Sandip Sen

Researchers in the field of Distributed Artificial Intelligence have studied the effects of local decision-making on overall system performance in both cooperative and self-interested agent groups. The performance of individual agents depends critically on the quality of information available to it about local and global goals and resources. Whereas in general it is assumed that the more accurate and up-to-date the available information, the better is the expected performance of the individual and the group, this conclusion can be challenged in a number of scenarios.


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