Logical Formalization of Some Counterfactual Emotions

Authors
1 Department of Philosophy and Logic, Faculty of Humanities, Tarbiat Modares University, Tehran, Iran
2 Department of Computer Science, School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran
Abstract
Counterfactual emotions, such as guilt and shame, represent a significant category of factors that influence human behavior in social and moral contexts. These emotions enable agents to evaluate their choices concerning prior experiences. In this process, they consider how they might have acted differently and then contemplate how their choices might have led to different outcomes. They endeavor to modify their behavior. This paper proposes a logical framework designed to represent counterfactual emotions within the contexts of Multi-Agent Systems formally. The proposed formalism uses a specific syntax and semantics to express the relationship between an agent's actions, its knowledge, norms, and evaluative criteria. This approach provides a systematic explanation of the concepts of guilt and shame. This work provides a foundation for the development of intelligent systems that may be able to understand and learn about the complex ethical and social norms that are a part of societies.

Keywords


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