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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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Engineering Materials and Processesly” represent humans in Virtual Institutions. The proposed method does not require any explicit training efforts from human participants. The contribution is limited to the lazy learning methodology based on imitation and algorithms that enable believable movements by a trained autonomous agent within a Virtual Institution.
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Rubber fatigue — the intrinsic Intricacies which they are likely to be played, by analyzing a large number of professional go games. The method used applies several concepts, e.g., prefix trees, to extract knowledge from the vast amount of data.
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A Fuzzy Semi-Supervised Support Vector Machines Approach to Hypertext Categorizationctor machines, to achieve the same level of classification performance. Also, the incorporated fuzzy membership values of the unlabelled training patterns in the learning process have positively influenced the classification performance in comparison with its crisp variant.
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Batch Reinforcement Learning for Controlling a Mobile Wheeled Pendulum Robotdered during the training phase. The performance of the learning method has been empirically analyzed and, when possible, compared to a classic control algorithm, namely linear quadratic optimal control (LQR).
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