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

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).

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Year of publication:	2010-02-17
Authors:	Mazilescu, Vasile
Institutions:	Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München
Subject:	learning process \| fuzzy control \| agent predictability

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Extent:	application/pdf
Series:	MPRA Paper.
Type of publication:	Book / Working Paper
Classification:	C63 - Computational Techniques ; C88 - Other Computer Software
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008619189