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The Semantic Web Paradigm for a Real-Time Agent Control (Part I)

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  • Mazilescu, Vasile

Abstract

For the Semantic Web point of view, computers must have access to structured collections of information and sets of inference rules that they can use to conduct automated reasoning. Adding logic to the Web, the means to use rules to make inferences, choose courses of action and answer questions, is the actual task for the distributed IT community. The real power of Intelligent Web will be realized when people create many programs that collect Web content from diverse sources, process the information and exchange the results with other programs. The first part of this paper is an introductory of Semantic Web properties, and summarises agent characteristics and their actual importance in digital economy. The second part presents the predictability of a multiagent system used in a learning process for a control problem.

Suggested Citation

  • Mazilescu, Vasile, 2010. "The Semantic Web Paradigm for a Real-Time Agent Control (Part I)," MPRA Paper 20759, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:20759
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    More about this item

    Keywords

    Semantic Web; agents; fuzzy knowledge; evolutionary computing;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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