From Affect Theoretical Foundations to Computational Models of Intelligent Affective Agents
The links between emotions and rationality have been extensively studied and discussed. Several computational approaches have also been proposed to model these links. However, is it possible to build generic computational approaches and languages so that they can be “adapted” when a specific affecti...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/22/10874 |
| _version_ | 1797511286833020928 |
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| author | Bexy Alfonso Joaquin Taverner Emilio Vivancos Vicente Botti |
| author_facet | Bexy Alfonso Joaquin Taverner Emilio Vivancos Vicente Botti |
| author_sort | Bexy Alfonso |
| collection | DOAJ |
| description | The links between emotions and rationality have been extensively studied and discussed. Several computational approaches have also been proposed to model these links. However, is it possible to build generic computational approaches and languages so that they can be “adapted” when a specific affective phenomenon is being modeled? Would these approaches be sufficiently and properly grounded? In this work, we want to provide the means for the development of these generic approaches and languages by making a horizontal analysis inspired by philosophical and psychological theories of the main affective phenomena that are traditionally studied. Unfortunately, not all the affective theories can be adapted to be used in computational models; therefore, it is necessary to perform an analysis of the most suitable theories. In this analysis, we identify and classify the main processes and concepts which can be used in a generic affective computational model, and we propose a theoretical framework that includes all these processes and concepts that a model of an affective agent with practical reasoning could use. Our generic theoretical framework supports incremental research whereby future proposals can improve previous ones. This framework also supports the evaluation of the coverage of current computational approaches according to the processes that are modeled and according to the integration of practical reasoning and affect-related issues. This framework is being used in the development of the <i>GenIA<sup>3</sup></i> architecture. |
| first_indexed | 2024-03-10T05:43:15Z |
| format | Article |
| id | doaj.art-6c42449fe8cc49178976dd529382d9e4 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T05:43:15Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-6c42449fe8cc49178976dd529382d9e42023-11-22T22:20:15ZengMDPI AGApplied Sciences2076-34172021-11-0111221087410.3390/app112210874From Affect Theoretical Foundations to Computational Models of Intelligent Affective AgentsBexy Alfonso0Joaquin Taverner1Emilio Vivancos2Vicente Botti3Valencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, 46022 Valencia, SpainValencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, 46022 Valencia, SpainValencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, 46022 Valencia, SpainValencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, 46022 Valencia, SpainThe links between emotions and rationality have been extensively studied and discussed. Several computational approaches have also been proposed to model these links. However, is it possible to build generic computational approaches and languages so that they can be “adapted” when a specific affective phenomenon is being modeled? Would these approaches be sufficiently and properly grounded? In this work, we want to provide the means for the development of these generic approaches and languages by making a horizontal analysis inspired by philosophical and psychological theories of the main affective phenomena that are traditionally studied. Unfortunately, not all the affective theories can be adapted to be used in computational models; therefore, it is necessary to perform an analysis of the most suitable theories. In this analysis, we identify and classify the main processes and concepts which can be used in a generic affective computational model, and we propose a theoretical framework that includes all these processes and concepts that a model of an affective agent with practical reasoning could use. Our generic theoretical framework supports incremental research whereby future proposals can improve previous ones. This framework also supports the evaluation of the coverage of current computational approaches according to the processes that are modeled and according to the integration of practical reasoning and affect-related issues. This framework is being used in the development of the <i>GenIA<sup>3</sup></i> architecture.https://www.mdpi.com/2076-3417/11/22/10874emotionsaffectpersonalitycomputational modelsagents |
| spellingShingle | Bexy Alfonso Joaquin Taverner Emilio Vivancos Vicente Botti From Affect Theoretical Foundations to Computational Models of Intelligent Affective Agents Applied Sciences emotions affect personality computational models agents |
| title | From Affect Theoretical Foundations to Computational Models of Intelligent Affective Agents |
| title_full | From Affect Theoretical Foundations to Computational Models of Intelligent Affective Agents |
| title_fullStr | From Affect Theoretical Foundations to Computational Models of Intelligent Affective Agents |
| title_full_unstemmed | From Affect Theoretical Foundations to Computational Models of Intelligent Affective Agents |
| title_short | From Affect Theoretical Foundations to Computational Models of Intelligent Affective Agents |
| title_sort | from affect theoretical foundations to computational models of intelligent affective agents |
| topic | emotions affect personality computational models agents |
| url | https://www.mdpi.com/2076-3417/11/22/10874 |
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