Titlebook: Agent Computing and Multi-Agent Systems; 10th Pacific Rim Int Aditya Ghose,Guido Governatori,Ramakoti Sadananda Conference proceedings 2009

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Multi-Agent Based Web Search with Heterogeneous Semantics,eanings, semantic search has attracted enormous and growing interest to improve the accuracy of relevance ranking. Recently heterogeneous semantic information such as thesauruses, semantic markups and social annotations have been adopted in search respectively for this purpose. However, although to

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Fast Partial Reallocation in Combinatorial Auctions for Iterative Resource Allocation,tems. Our algorithms are designed to effectively reuse the last solutions to speeding up initial approximation performance. We show experimental results that show our proposed algorithms outperform existing algorithms in some aspects when the existing bids are not deleted. Also, we propose an enhanc

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Deliberation Process in a BDI Model with Bayesian Networks,orks is done by viewing beliefs as networks, and desires and intentions as particular chance variable states that agents pursue. We are particulary concerned with the deliberation about which states of affairs the agents will intend. Perception, planning and execution of plans lie outside the scope

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An Asymmetric Protocol for Argumentation Games in Defeasible Logic,riminal litigation, consumer legislation), due to ethical, moral or other principles governing interaction, the burden of proof, i.e., which party is to lose if the evidence is balanced [22], is . fixed to one of the parties. Analogously, when resolving disputes in a heterogeneous agent-system the u

DEAWL

Existence of Risk Strategy Equilibrium in Games Having No Pure Strategy Nash Equilibrium,at risk strategy equilibrium may exist even the game does not have pure strategy Nash equilibrium. We then summarize general conditions for the existence of risk strategy equilibrium. Simulation shows that agents using risk strategies also have better performance than agents using other existing str

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Using Multiagent System to Build Structural Earth Model,ogical interpretations to facilitate the geologists’ modeling work. This paper presents a distributed problem solving approach, which enables geologists to quickly validate and improve structural earth models by considering new drilling data. This approach is based on a self-organizing multiagent sy