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Abduction of distributed theories through local interactions

机译:通过当地互动绑架分布式理论

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What happens when distributed sources of information (agents) hold and acquire information locally, and have to communicate with neighbouring agents in order to refine their hypothesis regarding the actual global state of this environment? This question occurs when it is not be possible (e. g. for practical or privacy concerns) to collect observations and knowledge, and centrally compute the resulting theory. In this paper, we assume that agents are equipped with full clausal theories and individually face abductive tasks, in a globally consistent environment. We adopt a learner/critic approach. Previous work in this line mostly relied on some assumptions of compositionality (which allow to treat each piece of exchanged information separately). Because no shared background knowledge is assumed to start with, this does not hold here. We design a protocol guaranteeing convergence to a situation "sufficiently" satisfying as far as consistency of the system is concerned, and discuss its other properties.
机译:当分布式信息源(代理)持有并在本地获取信息时会发生什么,并且必须与邻国进行沟通,以便在对此环境的实际全球状况进行统治时改进他们的假设?当不可能的时候发生这个问题(例如,用于实际或隐私问题)来收集观察和知识,并集中计算所产生的理论。在本文中,我们假设代理商在全球一致的环境中配备了完全的人士理论,并单独面临绑架任务。我们采用学习者/评论家方法。以前的工作在这条线上主要依赖于组成性的一些假设(允许分别处理每件交换信息)。因为没有假设共享背景知识开始,这在此处不持有。我们设计了一个协议,保证趋同的情况“充分”满足系统所关注的一致性,并讨论其其他属性。

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