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A study on SOA based multi agent under RTE environment

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TLDR
In this article, the agent system is proposed to accomplish the management activities in real-time depending on environment and given condition and designed for solving problems development and maintenance and repair of existing normal application system problems.
Abstract
Recently, business environment is spreading from singular business to supply-chain problem. On keen competition environment, not individual enterprise, but efficient building and running of total supply-chain decided to survival competitive of supply-chain. On the other hand, SCM (Supply Chain Management) is changing from closed and static to opened and dynamic environment, so these environment changes of SCM require to enterprise different approach than past. As supply-chain is becoming opened and dynamic, a claim is being naming that it can promote the enterprise competitive if it converses the real-time of recognition of supply-chain problem, search and choice of alternative plans to solve this problem and the time leads to the reaction To realize these conceptions of RTE(Real-Time Enterprise), not a conception of individual enterprise, but it needs to see total supply-chain as an organization and needs efficiency to converse the management activities between these enterprises. But until present, the research to deal with these changes of SCM and RTE is on insufficient situation. Thus in this paper proposes the agent system by a way of realizing dynamic supply-chain and RTE. The agent is going to accomplish the management activities in real-time depends on environment and given condition and designed for solving problems development and maintenance and repair of existing normal application system problems. Also, algorithms performance of the agent is tested on TAC SCM environment and realized dashboard so it can monitor the management activities of supply-chain.

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Proceedings Article

The Impact of Heterogeneity on Cooperating Agents

TL;DR: The majority of previous work in Distributed AI (DAI) has concentrated on cooperation between similar agents, but such cosy assumptions are often not applicable in real-world situations real problems involve heterogeneity!
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