Artificial Empathy and Imprecise Communication in a Multi-Agent System
This paper introduces a novel artificial intelligence model that integrates artificial empathy into the decision-making processes of collaborative agent systems. The existing models of collaborative behaviors, especially in swarm applications, lack the aspect of empathy, known to improve cooperation...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/1/8 |
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| author | Joanna Siwek Konrad Pierzyński Przemysław Siwek Adrian Wójcik Patryk Żywica |
| author_facet | Joanna Siwek Konrad Pierzyński Przemysław Siwek Adrian Wójcik Patryk Żywica |
| author_sort | Joanna Siwek |
| collection | DOAJ |
| description | This paper introduces a novel artificial intelligence model that integrates artificial empathy into the decision-making processes of collaborative agent systems. The existing models of collaborative behaviors, especially in swarm applications, lack the aspect of empathy, known to improve cooperation in human teams. Emphasizing both cognitive and emotional aspects of empathy, the introduced model navigates communication uncertainties and ambiguities, transforming these challenges into opportunities for learning and adaptation in dynamic environments. A significant feature of this model is its handling of imprecision through fuzzy logic, using fuzzy similarity measures in the decision process. The main objective of the presented research is to introduce a new model for improving cooperativeness in multi-agent systems with the use of cognitive empathy. Future research focus on implementing the model on physical platform and optimize the artificial empathy algorithms in the decision-making module. |
| format | Article |
| id | doaj-art-0057e8012f6244cea93f56e84c6a6138 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-0057e8012f6244cea93f56e84c6a61382025-01-10T13:14:08ZengMDPI AGApplied Sciences2076-34172024-12-01151810.3390/app15010008Artificial Empathy and Imprecise Communication in a Multi-Agent SystemJoanna Siwek0Konrad Pierzyński1Przemysław Siwek2Adrian Wójcik3Patryk Żywica4Department of Artificial Intelligence, Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Uniwersytetu Poznańskiego 4, 61-614 Poznań, PolandDepartment of Artificial Intelligence, Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Uniwersytetu Poznańskiego 4, 61-614 Poznań, PolandInstitute of Robotics and Machine Intelligence, Faculty of Control, Robotics and Electrical Engineering, Poznań University of Technology, Piotrowo 3A, 60-965 Poznań, PolandInstitute of Robotics and Machine Intelligence, Faculty of Control, Robotics and Electrical Engineering, Poznań University of Technology, Piotrowo 3A, 60-965 Poznań, PolandDepartment of Artificial Intelligence, Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Uniwersytetu Poznańskiego 4, 61-614 Poznań, PolandThis paper introduces a novel artificial intelligence model that integrates artificial empathy into the decision-making processes of collaborative agent systems. The existing models of collaborative behaviors, especially in swarm applications, lack the aspect of empathy, known to improve cooperation in human teams. Emphasizing both cognitive and emotional aspects of empathy, the introduced model navigates communication uncertainties and ambiguities, transforming these challenges into opportunities for learning and adaptation in dynamic environments. A significant feature of this model is its handling of imprecision through fuzzy logic, using fuzzy similarity measures in the decision process. The main objective of the presented research is to introduce a new model for improving cooperativeness in multi-agent systems with the use of cognitive empathy. Future research focus on implementing the model on physical platform and optimize the artificial empathy algorithms in the decision-making module.https://www.mdpi.com/2076-3417/15/1/8decision makingartificial empathyfuzzy multi-agent systemuncertainty |
| spellingShingle | Joanna Siwek Konrad Pierzyński Przemysław Siwek Adrian Wójcik Patryk Żywica Artificial Empathy and Imprecise Communication in a Multi-Agent System Applied Sciences decision making artificial empathy fuzzy multi-agent system uncertainty |
| title | Artificial Empathy and Imprecise Communication in a Multi-Agent System |
| title_full | Artificial Empathy and Imprecise Communication in a Multi-Agent System |
| title_fullStr | Artificial Empathy and Imprecise Communication in a Multi-Agent System |
| title_full_unstemmed | Artificial Empathy and Imprecise Communication in a Multi-Agent System |
| title_short | Artificial Empathy and Imprecise Communication in a Multi-Agent System |
| title_sort | artificial empathy and imprecise communication in a multi agent system |
| topic | decision making artificial empathy fuzzy multi-agent system uncertainty |
| url | https://www.mdpi.com/2076-3417/15/1/8 |
| work_keys_str_mv | AT joannasiwek artificialempathyandimprecisecommunicationinamultiagentsystem AT konradpierzynski artificialempathyandimprecisecommunicationinamultiagentsystem AT przemysławsiwek artificialempathyandimprecisecommunicationinamultiagentsystem AT adrianwojcik artificialempathyandimprecisecommunicationinamultiagentsystem AT patrykzywica artificialempathyandimprecisecommunicationinamultiagentsystem |