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Titlebook: Artificial Intelligence in Theory and Practice II; IFIP 20th World Comp Max Bramer Conference proceedings 2008 IFIP International Federatio

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Zihai Shi,Yukari Nakamura,Masaaki Nakanoions. Here it is presented how people can contribute to give computers the knowledge they need to be able to perform common sense reasoning and, therefore, to make good sense decisions. In this manner, it is hoped that software with more usability can be developed.
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A Light-Weight Multi-Agent System Manages 802.11 Mesh Networksjected to unanticipated perturbations and external intervention. Our overall goal is simply to reduce maintenance costs for such networks by removing the need for humans to tune the network settings. So stability of the algorithms is our main concern.
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Agent Based Frequent Set Meta Mining: Introducing EMADSe the concept of Meta ARM and go on to describe and analyse a number of potential solutions in the context of EMADS. Experimental results are considered in terms of: the number of data sources, the number of records in the data sets and the number of attributes represented.
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Knowledge Modeling Framework for System Engineering Projects in order to facilitate their reuse. The framework is based on a set of layered ontologies where entities such as domain concepts, actors, decision processes, artefacts, are interlinked to capture explicit as well as implicit engineering project knowledge.
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