{"product_id":"rule-based-evolutionary-online-learning-systems-a-principled-approach-to-lcs-analysis-and-design-von-martin-v-butz","title":"Rule-Based Evolutionary Online Learning Systems","description":"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 cognitivesystems. Martin V.\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783540253792\"\u003e\u003ch3\u003eA Principled Approach to LCS Analysis and Design\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783642064777\"\u003e\u003ch3\u003eA Principled Approach to LCS Analysis and Design\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Hardcover - 9783540253792","offer_id":51095944134,"sku":"9783540253792","price":106.99,"currency_code":"EUR","in_stock":true},{"title":"Softcover - 9783642064777","offer_id":39423879217245,"sku":"9783642064777","price":106.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/12d3e313-c64f-4ae8-bbcd-3f67c012eeab.jpg?v=1774157303","url":"https:\/\/shop.autorenwelt.de\/en\/products\/rule-based-evolutionary-online-learning-systems-a-principled-approach-to-lcs-analysis-and-design-von-martin-v-butz","provider":"Autorenwelt Shop","version":"1.0","type":"link"}