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

Vasile Mazilescu

MPRA Paper from University Library of Munich, Germany

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.

Keywords: Semantic Web; agents; fuzzy knowledge; evolutionary computing (search for similar items in EconPapers)
JEL-codes: C63 C88 (search for similar items in EconPapers)
Date: 2010-02-17
New Economics Papers: this item is included in nep-cmp and nep-ict
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:20759

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