A Meta-modeling Based Support for Adaptive Integrating in Agent-based Systems
نویسندگان
چکیده
Open agent architectures offer support for creating agent-based distributed software systems. These systems functionality results from the logical composition of a collaborating agents collection. This paper proposes a model for adaptive integration of agents in an open agent architecture. This model is based on meta-modeling at the support level and on negotiation at the agent level. Adaptive agent integration means that available functionality of an agent intended to join a distributed agent-based system is added to the global functionality after a negotiation process. The negotiation is realized by agents from the system and is based on the offered functionality features and on system global needs. The main advantage of adaptive integration is represented by the increased performance both in the agent space and at the entire system level, due to the active presence of, and only of, the required functionality subset of any agent.
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