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首页> 外文会议>International Workshop on Agent-Based Approaches in Economic and Social Complex Systems 2004(AESCS'04); 20040527-29; Kyoto University(JP) >Constructing shared interpretations in a team of intelligent agents: the effects of communication intensity and structure
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Constructing shared interpretations in a team of intelligent agents: the effects of communication intensity and structure

机译：在智能代理团队中构建共享解释：沟通强度和结构的影响

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摘要

In this paper we explore a model of a team of intelligent agents constructing a shared interpretation of the state of their environment. Each agent is modeled as a constraint satisfaction network of the Hopfield (1982) type. We show that in a noisy environment communication intensity often has a nonmonotonic effect on team interpretive accuracy. We also investigate how team communication can correct erroneous individual interpretations stored in agents' memories - errors concerning what they know, not only what they perceive. We also compare the effects of different communication structures, and show that communication structure matters only when agents are cognitively heterogeneous (each has a different repertoire of interpretations in his memory), while it has only a minor impact on team performance when agents are homogeneous.
机译：在本文中，我们探索了一个智能代理团队的模型，该模型构建了对其环境状态的共享解释。将每个主体建模为Hopfield（1982）类型的约束满足网络。我们表明，在嘈杂的环境中，交流强度通常会对团队的解释准确性产生非单调影响。我们还研究了团队沟通如何纠正存储在特工记忆中的错误个人解释-有关他们所知道的，不仅是他们所感知的错误。我们还比较了不同沟通结构的影响，并表明沟通结构仅在代理在认知上是异质性时才有意义（每个代理在他的记忆中具有不同的解释表述），而在代理是同质的情况下，对团队绩效的影响很小。

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