An epistemic logic for formalizing group dynamics of agents

IF 0.9 4区 心理学 Q3 COMMUNICATION Interaction Studies Pub Date : 2022-12-31 DOI:10.1075/is.22019.cos
S. Costantini, A. Formisano, V. Pitoni
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引用次数: 2

Abstract

In the multi-agent setting, it is relevant to model group dynamics of agents, and logic has proved a good tool to do so. We propose an epistemic logic, L-DINF-E, that allows one to formalize what are the beliefs formed by a group of agents, where several groups exist and agents can pass from a group to another one. We introduce a new modality which allows an agent to reason about the beliefs of other agents. This allows us to model aspects of the “Theory of Mind”, understood as the set of social-cognitive skills involving the ability to attribute and reason about mental states, desires, beliefs, and knowledge of agents. In this paper, we present the logic L-DINF-E and illustrate how it can be used to solve “false-belief tasks”, i.e., tests in which an agent should understand that some other agent may develop, under some circumstances, false beliefs.
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主体群动力学形式化的认识逻辑
在多智能体环境中,它与智能体的群体动力学建模有关,而逻辑已被证明是一个很好的工具。我们提出了一种认识逻辑L-DINF-E,它允许人们将一组智能体形成的信念形式化,其中存在多个群体,智能体可以从一个群体传递到另一个群体。我们引入了一种新的模式,它允许代理人对其他代理人的信念进行推理。这使我们能够对“心理理论”的各个方面进行建模,将其理解为一套社会认知技能,包括对心理状态、欲望、信仰和代理人知识进行归因和推理的能力。在本文中,我们提出了逻辑L-DINF-E,并说明了如何使用它来解决“错误信念任务”,即一个主体应该理解其他主体在某些情况下可能发展出错误信念的测试。
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来源期刊
CiteScore
3.30
自引率
6.70%
发文量
8
期刊介绍: This international peer-reviewed journal aims to advance knowledge in the growing and strongly interdisciplinary area of Interaction Studies in biological and artificial systems. Understanding social behaviour and communication in biological and artificial systems requires knowledge of evolutionary, developmental and neurobiological aspects of social behaviour and communication; the embodied nature of interactions; origins and characteristics of social and narrative intelligence; perception, action and communication in the context of dynamic and social environments; social learning.
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