Careful Autonomous Agents in Environments With Multiple Common Resources

Rodica Condurache, C. Dima, Madalina Jitaru, Y. Oualhadj, N. Troquard
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引用次数: 1

Abstract

Careful rational synthesis was defined in [7] as a quantitative extension of Fisman et al.’s rational synthesis [11], as a model of multi-agent systems in which agents are interacting in a graph arena in a turn-based fashion. There is one common resource, and each action may decrease or increase the resource. Each agent has a temporal qualitative objective and wants to maintain the value of the resource positive. One must find a Nash equilibrium. This problem is decidable. In more practical settings, the verification of the critical properties of multi-agent systems calls for models with many resources. Indeed, agents and robots consume and produce more than one type of resource: electric energy, fuel, raw material, manufactured goods, etc. We thus explore the problem of careful rational synthesis with several resources. We show that the problem is undecidable. We then propose a variant with bounded resources, motivated by the observation that in practical settings, the storage of resources is limited. We show that the problem becomes decidable, and is no harder than controller synthesis with Linear-time Temporal Logic objectives.
具有多个公共资源的环境中的谨慎自治代理
谨慎理性综合在[7]中被定义为Fisman等人的理性综合[11]的定量扩展,作为多智能体系统的模型,其中智能体以回合为基础的方式在图舞台上相互作用。存在一种公共资源,每个操作都可能减少或增加该资源。每个智能体都有一个暂时的定性目标,并希望保持资源的价值为正。我们必须找到纳什均衡。这个问题是可以决定的。在更实际的环境中,验证多智能体系统的关键属性需要具有许多资源的模型。实际上,代理人和机器人消耗和生产的资源不止一种:电能、燃料、原材料、制成品等。因此,我们探讨了一些资源的谨慎理性综合问题。我们表明这个问题是无法确定的。然后,我们提出了一个具有有限资源的变体,其动机是观察到在实际设置中,资源的存储是有限的。我们证明了这个问题是可决定的,并且并不比具有线性-时间逻辑目标的控制器合成更难。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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