Description: Rule-based Evolutionary Online Learning Systems : A Principled Approach to Lcs Analysis and Design, Paperback by Butz, Martin V., ISBN 3642064779, ISBN-13 9783642064777, Brand New, Free shipping in the US Rule-basedevolutionaryonlinelearningsystems,oftenreferredtoasMichig- style learning classi?er systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the generali- tion capabilities of genetic algorithms promising a ?exible, online general- ing, solely reinforcement dependent learning system. However, despite several initial successful applications of LCSs and their interesting relations with a- mal learning and cognition, understanding of the systems remained somewhat obscured. Questions concerning learning complexity or convergence remained unanswered. Performance in di?erent problem types, problem structures, c- ceptspaces,andhypothesisspacesstayednearlyunpredictable. Thisbookhas the following three major objectives: (1) to establish a facetwise theory - proachforLCSsthatpromotessystemanalysis,understanding,anddesign;(2) to analyze, evaluate, and enhance the XCS classi?er system (Wilson, 1995) by the means of the facetwise approach establishing a fundamental XCS learning theory; (3) to identify both the major advantages of an LCS-based learning approach as well as the most promising potential application areas. Achieving these three objectives leads to a rigorous understanding of LCS functioning that enables the successful application of LCSs to diverse problem types and problem domains. The quantitative analysis of XCS shows that the inter- tive, evolutionary-based online learning mechanism works machine learning competitively yielding a low-order polynomial learning complexity. Moreover, the facetwise analysis approach facilitates the successful design of more - vanced LCSs including Holland’s originally envisioned cognitive systems. Martin V.
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Book Title: Rule-based Evolutionary Online Learning Systems : A Principled Ap
Number of Pages: Xxi, 259 Pages
Publication Name: Rule-Based Evolutionary Online Learning Systems : a Principled Approach to Lcs Analysis and Design
Language: English
Publisher: Springer Berlin / Heidelberg
Publication Year: 2010
Subject: Engineering (General), Computer Science, Applied
Type: Textbook
Item Weight: 16 Oz
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Technology & Engineering
Author: Martin V. Butz
Series: Studies in Fuzziness and Soft Computing Ser.
Item Width: 6.1 in
Format: Trade Paperback
