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Interactive Dynamic Influence Diagrams(I-DIDs) constitute a graphic model for multi-agent decision making under uncertainty, but solving them is provably intractable. Algorithms for solving I-DIDs face the challenge of an exponentially growing space of candidate models ascribed to other agents, over time. Pruning behaviorally equivalent models is one way toward minimizing the model set, but composing...
In this paper, a three level load balancing architecture for Multi-Agent Systems (MAS) is discussed. We designed a hybrid model in order to provide balance in load distribution on each host and agent. Each host has a load balancing coordinator (LBC) to monitor states of agents' load and message traffic. When a load imbalance occurs in the system, LBCs decide appropriate solution levels. Thus, load...
This paper presents a novel design and methodology which are implemented through a web based decision support system designed for oncologists and medical professionals. It gives an overview on the development process and methodology. It also explores previous works and similar research in this domain while highlights some of the limitations in those systems and compares our system which has addressed...
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