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

Vasile Mazilescu

MPRA Paper from University Library of Munich, Germany

Abstract: This paper is the second part of The Semantic Web Paradigm for a Real-time Agent Control, and the goal is to present the predictability of a multiagent system used in a learning process for a control problem (MASLCP).

Keywords: learning process; fuzzy control; agent predictability (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:20760

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