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CiteScore measures the average citations received per peer-reviewed document published in this title. CiteScore values are based on citation counts in a range of four years (e.g. 2018-2021) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of these documents in these same four years
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CiteScore measures the average citations received per peer-reviewed document published in this title. CiteScore values are based on citation counts in a range of four years (e.g. 2018-2021) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of these documents in these same four years (e.g. 2018 – 21).
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CiteScore measures the average citations received per peer-reviewed document published in this title. CiteScore values are based on citation counts in a range of four years (e.g. 2018-2021) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of these documents in these same four years (e.g. 2018 – 21).
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Volume 5, Issue 2 (2025)
Geo Res 2025, 5(2): 207-221 |
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History
Received: 2025/04/23 | Accepted: 2025/05/28 | Published: 2025/06/4
Received: 2025/04/23 | Accepted: 2025/05/28 | Published: 2025/06/4
How to cite this article
Mashhadi Raviz F, Nabavi L, Alizadeh M. Logical Formalization of Some Counterfactual Emotions. Geo Res 2025; 5 (2) :207-221
URL: http://daneshafarand.org/article-6-80898-en.html
URL: http://daneshafarand.org/article-6-80898-en.html
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
2- Department of Computer Science, School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran
Abstract (1017 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 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.
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