Robotic clusters: Multi-robot systems as computer clusters
Robotics and Autonomous Systems
Agent-driven integration architecture for component-based software development
Transactions on Computational Collective Intelligence VIII
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Multi-agent system(MAS) has more advantages because the agents can collaborate to complete complex tasks. However, the multi-agent interactions are more complex and even uncontrolled and it is difficult to resolve the multi-agent collaborations. This paper focuses on the interaction protocol in MAS. Firstly the interaction ontology library including role ontology, action ontology and message ontology is introduced into the semantic interactions. Then the representation of interaction protocol is presented, which describes an interaction protocol as process description and decision-making rules. Then we propose a three-layer agent architecture that contains knowledge layer, collaboration control layer and communication layer. We embed a protocol interpreter and loader into the collaboration control layer to deal with the interactions between agents. Finally dynamic interaction protocol load in MAS are discussed, which load the interaction protocol from protocol library conveniently and the code will be generated automatically. To the end we give an experiment to verify our resolution.