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Scalability and load balancing for Multiplatform Communication System architecture based on Intelligent agents

Distributed Multi-Agent Intelligent Systems technology has generated lots of excitement in recent years because of its promise as a new paradigm for conceptualizing, designing, and implementing software systems. Communication is the most important feature for meaningful interaction among agents in multi-agent systems. Communication enables agents to interact and share information to perform tasks to achieve their goals. Agent communication languages provide a standard in the protocol and language used in the agent communication, but can't provide a standard in ontology, because ontology depends on the subject and concept of the communication This lack of standardization, which impedes communication between agents, is known as the interoperability problem. In order to obtain semantic interoperability in distributed multi-agent Systems, agents need to agree on the basis of different ontologies. In this paper we propose a communication layers to outline the communication between agents. In addition a Multiplatform Communication System (MPCS) architecture is proposed to provide a highly flexible and scalable system. In MPCS architecture, a Dynamic Ontology Mapping System for Agent Communication (DOMAC) is proposed based on different mapping approaches in order to provide help in the conversation among different agents.