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IAT
2005
IEEE

Analyzing Myopic Approaches for Multi-Agent Communication

13 years 9 months ago
Analyzing Myopic Approaches for Multi-Agent Communication
Choosing when to communicate is a fundamental problem in multi-agent systems. This problem becomes particularly hard when communication is constrained and each agent has different partial information about the overall situation. Although computing the exact value of communication is intractable, it has been estimated using a standard myopic assumption. However, this assumption–that communication is only possible at the present time–introduces error that can lead to poor agent behavior. We examine specific situations in which the myopic approach performs poorly and demonstrate an alternate approach that relaxes the assumption to improve the performance. The results provide an effective method for value-driven communication policies in multi-agent systems.
Raphen Becker, Victor R. Lesser, Shlomo Zilberstei
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where IAT
Authors Raphen Becker, Victor R. Lesser, Shlomo Zilberstein
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