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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,...
In this paper, we propose an ontology-based decision support for military information services based on a multi-agent system. Our system consists of sensor agents to detect raw-level data, a context management agent for handling context data, an information service agent, an operational decision support agent, and user agents for maintaining user information. Our approach allows users in military...
Argumentation, initially studied in philosophy and law, has been researched extensively in computing in the last decade, especially for inference, decision making and decision support, dialogue, and negotiation. This paper focuses on the use of argumentation to support intelligent agents in multi-agent systems, in general and in the ARGUGRID project1 and Agreement Technology action2. In particular,...
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...
This paper presents MASCEM - a multi-agent based electricity market simulator. MASCEM uses game theory, machine learning techniques, scenario analysis and optimization techniques to model market agents and to provide them with decision-support. This paper mainly focus on the MASCEM ability to provide the means to model and simulate virtual power players (VPP). VPPs are represented as a coalition of...
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