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Anticipatory Learning Classifier Systems, Martin V. Butz


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Автор: Martin V. Butz
Название:  Anticipatory Learning Classifier Systems
ISBN: 9781461352907
Издательство: Springer
Классификация: ISBN-10: 1461352908
Обложка/Формат: Paperback
Страницы: 172
Вес: 0.29 кг.
Дата издания: 05.11.2012
Серия: Genetic Algorithms and Evolutionary Computation
Язык: English
Размер: 234 x 156 x 11
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

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. It is an excellent reference for researchers interested in adaptive behavior and machine learning from a cognitive science perspective as well as those who are interested in combining evolutionary learning mechanisms for learning and optimization tasks.




Anticipatory Systems

Автор: Rosen
Название: Anticipatory Systems
ISBN: 1461412684 ISBN-13(EAN): 9781461412687
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Robert Rosen was not only a biologist, he was also a brilliant mathematician whose extraordinary contributions to theoretical biology were tremendous. Founding, with this book, the area of Anticipatory Systems Theory is a remarkable outcome of his work in theoretical biology. This second edition of his book Anticipatory Systems, has been carefully revised and edited, and includes an Introduction by Judith Rosen. It has also been expanded with a set of Prolegomena by Dr. Mihai Nadin, who offers an historical survey of this fast growing field since the original work was published. There is also some exciting new work, in the form of an additional chapter on the Ontology of Anticipation, by Dr. John Kineman.  An addendum-- with autobiographical reminiscences by Robert Rosen, himself, and a short story by Judith Rosen about her father-- adds a personal touch.  This work, now available again, serves as the guiding foundations for the growing field of Anticipatory Systems and, indeed, any area of science that deals with living organisms in some way, including the study of Life and Mind. It will also be of interest to graduate students and researchers in the field of Systems Science.

Anticipatory Behavior in Adaptive Learning Systems

Автор: Martin V. Butz; Olivier Sigaud; Giovanni Pezzulo;
Название: Anticipatory Behavior in Adaptive Learning Systems
ISBN: 3540742611 ISBN-13(EAN): 9783540742616
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Anticipatory Behavior in Adaptive Learning Systems, ABiALS 2006, held in Rome, Italy, in September 2006, in association with SAB 2006, the 9th International Conference on Simulation of Adaptive Behavior.

Introduction to Learning Classifier Systems

Автор: Ryan J. Urbanowicz; Will N. Browne
Название: Introduction to Learning Classifier Systems
ISBN: 3662550067 ISBN-13(EAN): 9783662550069
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This is an accessible introduction to Learning Classifier Systems (LCS) for undergraduate and postgraduate students, data analysts, and machine learning practitioners.

Anticipatory Behavior in Adaptive Learning Systems

Автор: Giovanni Pezzulo; Martin V. Butz; Olivier Sigaud;
Название: Anticipatory Behavior in Adaptive Learning Systems
ISBN: 3642025641 ISBN-13(EAN): 9783642025648
Издательство: Springer
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Цена: 14365.00 р.
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Описание: This book constitutes the post-workshop proceedings of the 4th International Workshop on Anticipatory Behavior in Adaptive Learning Systems, ABiALS 2008, held in Munich, in June 2008. The introductory chapter provides an overview of the contributions.

Anticipatory Systems

Автор: Robert Rosen; Judith Rosen; John J. Kineman; Mihai
Название: Anticipatory Systems
ISBN: 1489992979 ISBN-13(EAN): 9781489992970
Издательство: Springer
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Цена: 18167.00 р.
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Описание: In its revised, expanded and updated second edition, this book remains the guiding foundation for the still-growing field of Anticipatory Systems Theory. Includes a new set of Prolegomena, a new chapter on the Ontology of Anticipation and more.

Anticipatory Action in Self-Defence

Автор: Kinga Tibori Szab?
Название: Anticipatory Action in Self-Defence
ISBN: 9067049964 ISBN-13(EAN): 9789067049962
Издательство: Springer
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Цена: 13969.00 р.
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Описание: This book examines whether anticipatory action in self-defense is part of customary international law and, if so, under what conditions. It considers such events as the Six-Day War, the Israeli bombing of an Iraqi reactor and the US invasion of Iraq.

Anticipatory Policymaking

Автор: Deleo
Название: Anticipatory Policymaking
ISBN: 1138307475 ISBN-13(EAN): 9781138307476
Издательство: Taylor&Francis
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Цена: 7348.00 р.
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Описание: Public policy analysts and political pundits alike tend to describe the policymaking process as a reactive sequence in which government develops solutions for clearly evident and identifiable problems. While this depiction holds true in many cases, it fails to account for instances in which public policy is enacted in anticipation of a potential future problem. Whereas traditional policy concerns manifest themselves through ongoing harms, "anticipatory problems" are projected to occur sometime in the future, and it is the prospect of their potentially catastrophic impact that generates intense speculation and concern in the present. Anticipatory Policymaking: When Government Acts to Prevent Problems and Why It Is So Difficult provides an in depth examination of the complex process through which United States government institutions anticipate emerging threats. Using contemporary debates over the risks associated with nanotechnology, pandemic influenza, and global warming as case study material, Rob A. DeLeo highlights the distinctive features of proactive governance. By challenging the pervasive assumption of reactive policymaking, DeLeo provides a dynamic approach for conceptualizing the political dimensions of anticipatory policy change.

Anticipatory Policymaking

Автор: Deleo
Название: Anticipatory Policymaking
ISBN: 1138813427 ISBN-13(EAN): 9781138813427
Издательство: Taylor&Francis
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Цена: 24499.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Public policy analysts and political pundits alike tend to describe the policymaking process as a reactive sequence in which government develops solutions for clearly evident and identifiable problems. While this depiction holds true in many cases, it fails to account for instances in which public policy is enacted in anticipation of a potential future problem. Whereas traditional policy concerns manifest themselves through ongoing harms, "anticipatory problems" are projected to occur sometime in the future, and it is the prospect of their potentially catastrophic impact that generates intense speculation and concern in the present. Anticipatory Policymaking: When Government Acts to Prevent Problems and Why It Is So Difficult provides an in depth examination of the complex process through which United States government institutions anticipate emerging threats. Using contemporary debates over the risks associated with nanotechnology, pandemic influenza, and global warming as case study material, Rob A. DeLeo highlights the distinctive features of proactive governance. By challenging the pervasive assumption of reactive policymaking, DeLeo provides a dynamic approach for conceptualizing the political dimensions of anticipatory policy change.

Strength or accuracy: credit assignment in learning classifier systems

Автор: Kovacs, Tim
Название: Strength or accuracy: credit assignment in learning classifier systems
ISBN: 1447110587 ISBN-13(EAN): 9781447110583
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Classifier systems are an intriguing approach to a broad range of machine learning problems, based on automated generation and evaluation of condi tion/action rules.


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