多智能体系统中操作的推理

Q1 Arts and Humanities
Christopher Leturc, Grégory Bonnet
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引用次数: 2

摘要

自私、不诚实或恶意的代理人可能会从操纵他人中获得利益。虽然许多作品涉及设计健壮的系统或操纵策略,但很少有作品有兴趣从广义上定义什么是操纵以及我们如何用这种概念进行推理。本文以社会科学文献为基础,给出了多智能体系统操作的一般定义。操纵是一个被称为操纵者的代理人故意将另一个被称为受害者的代理人工具化,同时确保掩盖这种影响。然后,我们提出一个逻辑框架,称为KBE,用于表达和推理操作。由于操作依赖于故意的效果,KBE引入了一个故意的BIAT算子,它抽象了行动的故意后果。我们证明了这个逻辑是健全的和完整的。此外,我们还表达了相关的概念,如强迫、说服或欺骗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reasoning about manipulation in multi-agent systems
ABSTRACT Selfish, dishonest or malicious agents may find an interest in manipulating others. While many works deal with designing robust systems or manipulative strategies, few works are interested in defining in a broad sense what is a manipulation and how we can reason with such a notion. In this article, based on a social science literature, we give a general definition of manipulation for multi-agent systems. A manipulation is a deliberate effect of an agent – called manipulator – to instrumentalize another agent – called victim – while making sure to conceal that effect. We present then a logical framework, called KBE, to express and reason about manipulations. Since manipulation relies on deliberate effects, KBE introduces a deliberate BIAT operator which abstracts deliberate consequences of actions. We prove that this logic is sound and complete. Furthermore,we express related notions such as coercion, persuasion, or deception.
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来源期刊
Journal of Applied Non-Classical Logics
Journal of Applied Non-Classical Logics Arts and Humanities-Philosophy
CiteScore
1.30
自引率
0.00%
发文量
8
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