Multiagent models based on fuzzy logic of the highest type for a high-performance environment
Models of intelligent agents and multiagent systems based on fuzzy logic of higher type, that allows to represent more informatively an uncertainty degree of linguistic representation of fuzzy rules system in the specification of behavior of these agents are considered. A model-driven approach to ge...
Збережено в:
| Дата: | 2015 |
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| Автори: | , |
| Формат: | Стаття |
| Мова: | Ukrainian |
| Опубліковано: |
PROBLEMS IN PROGRAMMING
2015
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| Теми: | |
| Онлайн доступ: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/79 |
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| Назва журналу: | Problems in programming |
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Репозитарії
Problems in programming| Резюме: | Models of intelligent agents and multiagent systems based on fuzzy logic of higher type, that allows to represent more informatively an uncertainty degree of linguistic representation of fuzzy rules system in the specification of behavior of these agents are considered. A model-driven approach to generate platform-specific models of fuzzy multiagent systems that operate in advanced high-performance environments, including cluster systems SKIT, is described. Multi-agent system architecture to achieve such aspects of behavior, specified by means of higher type fuzzy logic, as maintaining a distance between the agents, speed coordination and, respectively, obstacle avoidance is proposed. |
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