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首页> 外文会议>First Asia-Pacific Conference on Intelligent Agent Technology (IAT'99), held in Hong Kong from 14~(th) to 17~(th) December 1999 >Modeling agents as reflective intentional systems
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Modeling agents as reflective intentional systems

机译：将代理建模为反射性故意系统

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摘要

Formalisms describing intelligent agents and their properties and reasoning, are of continuing interest to AI. The predominant formalism for representing information and motivation attitudes is based on model logics. Agents are viewed as having either knowledge or beliefs about the world, which they use in order to achieve their goals. However such formalisms cannot express self-referential statements and quantification over propositions. In this paper we present a first-order logic with syntactic modalities and we view agents as reflective systems whose information state includes both knowledge and beliefs and their motivation attitudes are desires and intentions. Furthermore we discuss the relations between these four attitudes and the constraints for capturing agents with belief-consistent intentions.
机译：描述智能主体及其特性和推理的形式主义一直是AI的兴趣所在。代表信息和动机态度的主要形式主义是基于模型逻辑的。代理被视为对世界有一定的了解或信念，他们会使用这些知识或信念来实现自己的目标。然而，这样的形式主义不能表达自我主张和对命题的量化。在本文中，我们提出了一种具有句法形式的一阶逻辑，并且我们将主体视为反映系统，其信息状态包括知识和信念，并且他们的动机态度是欲望和意图。此外，我们讨论了这四种态度与捕获具有信念一致意图的特工的约束之间的关系。

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