Context Aware Community Formation for MAS-Oriented Collective Adaptive System
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Forming an effective collaboration community is the key to any successful collaborative process. However, community formation approaches for the closed multi-agent systems may be not fit the need of collective adaptive system comprising multi-agent in open environment. We propose a context aware community formation approach (CFAgentColla) for agent collaboration in open MAS. We employ ontology-based matching and calculation techniques to search for an optimized alternative capability of an agent or to generate a commitment according to the capabilities of two collaborative agents. Then, we define an adaptive goal model and propose an executable tree strategy to generate an optimal collaboration protocol according to the goals, capabilities and commitments. Additionally, we illustrate CFAgentColla approach with a real-world medical waste automated guided vehicle transportation scenario and evaluate the feasibility of our approach by validating the mainly executive parameters and by comparing with the planning approach.
KeywordsAgent collaboration Semantic calculation AGV-based simulation
This work was supported by the National Natural Science Foundation of China under Grant (No. 61502355), Science and Technology Research Project of Hubei Provincial Department of Education (No. Q20181508).
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