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AAAI 1996

Learning in Multi-Agent Systems

Short Paper SIGART/AAAI Doctoral Consortium Abstracts Artificial Intelligence

Abstract

Learning agents acting in a multi agent environment can improve their performance. These agents might decide upon their course of action by learning about other agents with whom they interact. The learning agents can learn about the others’ information and rules of behavior. The agents will not need to plan their actions beforehand, each time they are asked to solve the same problem they have already solved or when dealing with similar problems.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
900402150439299