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How Commitment Leads to Coordination: The Effect of Individual Reasoning Strategies on Multi-Agent Interaction

  • M. E. Pollack
Chapter
Part of the Philosophical Studies Series book series (PSSP, volume 72)

Abstract

Most agents, human or artificial, are situated in dynamic environments, i.e., environments in which the agent is not itself the only cause of change. Moreover, all agents have computational resource limits: their reasoning processes are not instantaneous, but take time. A dynamic environment may change during the time an agent is reasoning, and, indeed, may change in ways that undermine the very assumptions underlying the ongoing reasoning. Thus an agent that blindly pushes forward with a reasoning task, without regard to the amount of time it is taking or the changes meanwhile going on in the environment, is not likely to make rational decisions. Agents in dynamic environments need a way of deciding what to reason about when, and for how long. Recognition of this fact has led to a number of proposals for mechanisms for controlling reasoning (Russell and Wefald (1991), Dean and Boddy (1988), Horvitz et al. (1989), Zilberstein (1993), Dean et al. (1993).

Keywords

Dynamic Environment Reasoning Task Commitment Strategy Cooperative State Computational Resource Limit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1998

Authors and Affiliations

  • M. E. Pollack
    • 1
  1. 1.Department of Computer Science and Intelligent Systems ProgramUniversity of PittsburghPittsburghUSA

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