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首页> 外文会议>Proceedings of the 2010 summer simulation multiconference book 1: Summer computer simulation conference 2010 >Modeling with Non-cooperative Agents: Destructive Search for Randomly Located Objects
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Modeling with Non-cooperative Agents: Destructive Search for Randomly Located Objects

机译：非合作主体的建模：随机定位对象的破坏性搜索

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摘要

In this paper we address the general question of what is the best strategy to search efficiently for randomly located objects (target sites). We propose a new agent based algorithm for searching in an unpredictable environment. The originality of our work consists in applying a non-cooperative strategy, namely the distributed Goore Game model, as opposed to applying the classical collaborative and competitive strategies, or individual strategies. This paper covers only the destructive search that occurs when the agent visits the target only one time. The proposed algorithm has two versions: one when the agent can move with a step equal to unity and the other when the step of the agent follows a Levy flight distribution. The latter version is inspired by the work of A.M. Reynolds, motivated by biological examples.
机译：在本文中，我们解决了一个普遍的问题，即有效搜索随机定位的对象（目标站点）的最佳策略是什么。我们提出了一种新的基于代理的算法，用于在不可预测的环境中进行搜索。我们工作的独创性在于采用非合作策略，即分布式Goore博弈模型，而不是运用经典的协作和竞争策略或个人策略。本文仅介绍当代理仅访问目标一次时发生的破坏性搜索。所提出的算法有两个版本：一个版本，当特工可以以等于1的步长移动时，另一个版本，当特工的步长遵循Levy飞行分布时。后一个版本的灵感来自A.M.雷诺（Reynolds），受到生物学实例的启发。

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