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Sensor Placement for Plan Monitoring Using Genetic Programming

机译:使用遗传编程进行计划监控的传感器放置

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Monitoring plan execution is useful in various multi-agent applications, from agent cooperation to norm enforcement. Realistic environments often impose constraints on the capabilities of such monitoring, limiting the amount and coverage of available sensors. In this paper, we consider the problem of sensor placement within an environment to determine whether some behaviour has occurred. Our model is based on the semantics of planning, and we provide a simple formalism for describing sensors and behaviours in such a model. Given the computational complexity of the sensor placement problem, we investigate heuristic techniques for performing sensor placement, demonstrating that such techniques perform well even in complex domains.
机译:监视计划执行在从代理合作到规范执行的各种多代理应用中都非常有用。现实环境通常会限制此类监视的功能,从而限制可用传感器的数量和覆盖范围。在本文中,我们考虑在环境中放置传感器的问题,以确定是否已发生某些行为。我们的模型基于计划的语义,并且我们提供了一种简单的形式主义来描述这种模型中的传感器和行为。考虑到传感器放置问题的计算复杂性,我们研究了用于执行传感器放置的启发式技术,证明了这种技术即使在复杂领域中也能很好地表现。

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