1- Tarbiat Modares University
2- Department of Philosophy and Logic, Faculty of Humanities, Tarbiat Modares University ,nabavi_l@modares.ac.ir
3- School of Mathematics, Statistics and Computer Science School Computer Science University of Tehran
2- Department of Philosophy and Logic, Faculty of Humanities, Tarbiat Modares University ,
3- School of Mathematics, Statistics and Computer Science School Computer Science University of Tehran
Abstract: (22 Views)
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 had otherwise led to different outcomes. They endeavor to modify their behavior. This paper proposes a logical framework designed to formally represent counterfactual emotions within the contexts of Multi-Agent Systems. 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.
Article Type: Original Research |
Subject:
Logic and Philosophy of Logic (Analytical)
Received: 2025/05/14 | Accepted: 2025/05/28
Received: 2025/05/14 | Accepted: 2025/05/28
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |