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The novel concept of Compound-Agent is proposed, which consists of some independent sub-agents that share common beliefs and employ community actions. The Explicit Model of Coordination, which is used in the coordination of the sub-agents of Compound-Agent, is provided. The actions of each sub-agent are rule-based determined, and the rule base can be adjusted on time. The approximate fuzzy reasoning is used to improve the speed of learn and reduce the number of rules, which makes Compound-Agent suitable for real time and dynamic applications. A real application, the design of the control system of flat-knitting machine employing the concept of Compound-Agent, is discussed briefly.
The novel concept of Compound-Agent is proposed, which consists of some independent sub-agents that share common beliefs and employ community actions. The Explicit Model of Coordination, which is used in the coordination of the sub-agents of Compound-Agent, is provided. The actions of each sub-agent are rule-based determined, and the rule base can be adjusted on time. The approximate fuzzy reasoning is used to improve the speed of learn and reduce the number of rules, which makes Compound-Agent suitable for real time and dynamic applications. A real application, the design of the control system of flat-knitting machine employing the concept of Compound-Agent, is discussed briefly.