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• W2182112182 abstract "This work presents a cooperative architecture for autonomous agents based on dynamic-fuzzy cognitive maps (D- FCM), an evolution of fuzzy cognitive maps (FCM). This architecture is used to develop an autonomous navigation system for mobile robots, which has capacity for learning, self-adaptation and behavior management. The developed navigation system adopts a multi-agent approach, based on subsumption architecture of Brooks, which allows hierarchical management of actions and parallel processing. Reinforcement learning is used to self-tune the system allowing D-FCM to be self-adaptive. A bio- inspired strategy in ant's behavior is used for communication between agents and simulated in a virtual environment, comparing the results with another method of cooperation that is based on navigation data." @default.
• W2182112182 created "2016-06-24" @default.
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• W2182112182 date "2014-01-01" @default.
• W2182112182 modified "2023-09-27" @default.
• W2182112182 title "DYNAMIC FUZZY COGNITIVE MAPS APPLIED IN DEVELOPTMENT TECHNIQUE INSPIRED IN SWARM ROBOTICS" @default.
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• W2182112182 hasPublicationYear "2014" @default.
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