In this research, we address the problem of a lack of communications between heterogeneous multi-agent systems. For example, the KQML-based agent cannot talk to the FIPA-based agent and vice versa. We have identified three main reasons why different multi-agent systems are not interoperable, which we call architectural elements: (1) inconsistent mental state structures; (2) different syntax and semantics of the agent communication languages; and (3) incompatible message transport mechanisms. To solve this problem, we propose a gateway agent as a translator of the agent communications that assures the integration of heterogeneous multi-agent systems. We have developed a prototype of the gateway agent that can translate messages between the KQML agent and FIPA agent. Based on the results, we are studying a higher level of interoperability based on conversation protocols between agents.
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