Martin V. Butz's Books

Rule-Based Evolutionary Online Learning Systems

A Principled Approach to LCS Analysis and Design

By: Martin V. Butz

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Rule-Based Evolutionary Online Learning Systems

A Principled Approach to LCS Analysis and Design

By: Martin V. Butz

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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Page Count

279

Publisher

Springer

Published Date

ISBN 10

3540312315

ISBN 13

9783540312314

How the Mind Comes into Being

Introducing Cognitive Science from a Functional and Computational Perspective

By: Martin V. Butz,Esther F. Kutter

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How the Mind Comes into Being

Introducing Cognitive Science from a Functional and Computational Perspective

By: Martin V. Butz,Esther F. Kutter

More than 2000 years ago Greek philosophers were pondering the puzzling dichotomy between our physical bodies and our seemingly non-physical minds. Yet even today, it remains puzzling how our mind controls our body, and vice versa, how our body shapes our mind. How is it that we can think highly abstract thoughts, seemingly fully detached from the actual, physical reality? This book offers an interdisciplinary introduction to embodied cognitive science, addressing the question of how the mind comes into being while actively interacting with and learning from the environment by means of the own body. By pursuing a functional and computational perspective, concrete answers are provided about the fundamental mechanisms and developing structures that must bring the mind about, taking into account insights from biology, neuroscience, psychology, and philosophy as well as from computer science, machine learning, and artificial intelligence. The book provides introductions to the most important challenges and available computational approaches on how the mind comes into being. The book includes exercises, helping the reader to grasp the material and understand it in a broader context. References to further studies, methodological details, and current developments support more advanced studies beyond the covered material. While the book is written in advanced textbook style with the primary target group being undergraduates in cognitive science and related disciplines, readers with a basic scientific background and a strong interest in how the mind works will find this book intriguing and revealing.

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Page Count

607

Publisher

Oxford University Press

Published Date

ISBN 10

0191060178

ISBN 13

9780191060175

Anticipatory Learning Classifier Systems

By: Martin V. Butz

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Anticipatory Learning Classifier Systems

By: Martin V. Butz

Anticipatory Learning Classifier Systems describes the state of the art of anticipatory learning classifier systems-adaptive rule learning systems that autonomously build anticipatory environmental models. An anticipatory model specifies all possible action-effects in an environment with respect to given situations. It can be used to simulate anticipatory adaptive behavior. Anticipatory Learning Classifier Systems highlights how anticipations influence cognitive systems and illustrates the use of anticipations for (1) faster reactivity, (2) adaptive behavior beyond reinforcement learning, (3) attentional mechanisms, (4) simulation of other agents and (5) the implementation of a motivational module. The book focuses on a particular evolutionary model learning mechanism, a combination of a directed specializing mechanism and a genetic generalizing mechanism. Experiments show that anticipatory adaptive behavior can be simulated by exploiting the evolving anticipatory model for even faster model learning, planning applications, and adaptive behavior beyond reinforcement learning. Anticipatory Learning Classifier Systems gives a detailed algorithmic description as well as a program documentation of a C++ implementation of the system.

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Page Count

197

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461508916

ISBN 13

9781461508915

The Governance of Western Public Lands

Mapping Its Present and Future

By: Martin Nie

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The Governance of Western Public Lands

Mapping Its Present and Future

By: Martin Nie

Issues like clearcutting, wilderness preservation, and economic development have dominated debates over public lands for years, yet we seem no closer to resolving these matters than we ever were. Martin Nie now looks at why there continues to be so much conflict about public lands and resource management-and how we can break through these impasses. Showing that such conflicts have been driven by interrelated factors ranging from scarcity to mistrust and politics, he charts the present status and future prospects of public lands management in America. Nie looks closely at two of today's most intractable conflicts: the designation of U.S. Forest Service roadless areas and management of the Tongass National Forest in Alaska. He uses these cases to investigate more inclusive issues about governing federal lands in the West, such as the contested use of science and litigation, lengthy planning processes, and controversial practices of Congress and the president in managing environmental disputes. Along the way, he addresses such other conflict areas as snowmobiles in Yellowstone, bear and wolf protection, fire and forest health, drilling in Montana's Rocky Mountain Front, and federal grazing policy. Nie emphasizes the complicated and often contentious interaction between the branches of the federal government as a major factor in misunderstandings. He particularly cites the problem of vague statutory language, which tells our public land agencies little about what they should be doing but lots about how they should be doing it. Nie reexamines this confusing body of law and policy, in which the rulemaking process wags the dog and agencies are caught in political quagmires, to show how the pieces fit-but more often don't. Throughout the book, Nie considers the factors that make some public land conflicts so controversial, revisits how they have been dealt with in the past, and proposes ways they might be better managed in the future. Eschewing the single-policy approach to public lands management-such as encouraging free markets-he instead surveys a diverse array of other available options. His big-picture outlook for the twenty-first century is a bold call for reshaping ongoing conflicts-and for reinvesting in our public lands.

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Page Count

384

Publisher

University Press of Kansas

Published Date

ISBN 10

0700616764

ISBN 13

9780700616763

Book's by Martin V. Butz

Rule-Based Evolutionary Online Learning Systems

Rule-Based Evolutionary Online Learning Systems

How the Mind Comes into Being

How the Mind Comes into Being

Anticipatory Learning Classifier Systems

Anticipatory Learning Classifier Systems

The Governance of Western Public Lands

The Governance of Western Public Lands

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