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摘要翻译：
在日常生活中，一个人为了实现自己的目标，不得不对别人的想法和行为进行推理。换句话说，一个人可能被要求通过推理他人的精神状态来调整自己的行为。在本文中，我们重点研究了一种从逻辑程序设计中派生出来的知识表示语言，它既支持单个群体的心智状态表示，又提供每个群体对他人心智状态进行推理并相应地采取行动的能力。所提出的语义可以转化为具有聚合的逻辑程序的稳定模型语义。
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英文标题：
《Logic programming with social features》
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作者：
Francesco Buccafurri and Gianluca Caminiti
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最新提交年份：
2008
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分类信息：
一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
In everyday life it happens that a person has to reason about what other people think and how they behave, in order to achieve his goals. In other words, an individual may be required to adapt his behaviour by reasoning about the others' mental state. In this paper we focus on a knowledge representation language derived from logic programming which both supports the representation of mental states of individual communities and provides each with the capability of reasoning about others' mental states and acting accordingly. The proposed semantics is shown to be translatable into stable model semantics of logic programs with aggregates.
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PDF链接：
https://arxiv.org/pdf/0805.3518
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