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Modern multiorganizational coalitions can bring diverse sets of capabilities, assets, and information sources to bear on complex and dynamic operations. However, successfully completing these operations places demands on the trust between coalition partners. When it's necessary to rely on other partners, decision makers must be able to make rapid and effective trust assessments and decisions. Here,...
Notice of Violation of IEEE Publication Principles"The Design of Multi-agent System in IDAPS Microgrid"by Dejia Shi, Li Wang, Jing He.in the Proceedings of the International Asia Symposium on Intelligent Interaction and Affective Computing, 2009. ASIA '09, pp. 63-66After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this...
A decision making architecture for intelligent agents is presented in this paper. It allows agents to perform autonomous behavior with respect to its own goals and cooperation with other agents. We focus on computational agents that encapsulate various methods of computational intelligence, such as neural networks, genetic algorithms, and similar methods. The goal of these agents is typically to solve...
Detailed, timely and accurate condition monitoring and diagnostic capability for generation assets is important for safely operating a power plant. A software system developed to perform this function for a fleet of plants must allow the extraction of important information from a large volume of data while operating over a distributed platform. This paper will focus on the development of a multi-agent...
Multi-agent systems (MAS) have proven to be an effective platform for diagnostic and condition monitoring applications in the power industry. For example, a multi-agent system architecture, entitled condition monitoring multi-agent system (COMMAS) (McArthur et al., 2004), has been applied to the ultra high frequency (UHF) monitoring of partial discharge activity inside transformers. Additionally,...
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