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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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    File URL: https://mpra.ub.uni-muenchen.de/20759/1/MPRA_paper_20759.pdf
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    References listed on IDEAS

    as
    1. Spence, Laura J. & Jeurissen, Ronald & Rutherfoord, Robert, 2000. "Small Business and the Environment in the UK and the Netherlands: Toward Stakeholder Cooperation," Business Ethics Quarterly, Cambridge University Press, vol. 10(04), pages 945-965, October.
    2. Janet Adams & Armen Tashchian & Ted Shore, 2001. "Codes of Ethics as Signals for Ethical Behavior," Journal of Business Ethics, Springer, vol. 29(3), pages 199-211, February.
    3. Graafland, J.J., 2001. "Profts and principles: Four perspectives," MPRA Paper 21134, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Semantic Web; agents; fuzzy knowledge; evolutionary computing;

    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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