Metods of interaction and coordination in multi-agent system based on fussy logic of higher type
Dynamic architecture of intelligent multi-agent systems based on fuzzy logic of a higher type that allows more informative to present uncertainty of fuzzy rules when specifying the behavior of such systems and agents is developed. A method of fuzzy agents interactions based on the values of "sp...
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| Datum: | 2025 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | rus |
| Veröffentlicht: |
Інститут програмних систем НАН України
2025
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| Online Zugang: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/717 |
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| Назва журналу: | Problems in programming |
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Problems in programming| Zusammenfassung: | Dynamic architecture of intelligent multi-agent systems based on fuzzy logic of a higher type that allows more informative to present uncertainty of fuzzy rules when specifying the behavior of such systems and agents is developed. A method of fuzzy agents interactions based on the values of "speech acts", which allows to handle intent on cooperation associated with the proposal, followed by type 2 fuzzy value is proposed. Role-based coordination model of fuzzy agents behavior based on message exchange protocol that defines the functionality of agents within the multi-agent system is developed. Agent's behavior that corresponds to role entities is formalized by decision rules based on type 2 fuzzy logic.Prombles in programming 2014; 2-3: 242-252 |
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