Автор: Juan J. Romero; Penousal Machado Название: The Art of Artificial Evolution ISBN: 3642436668 ISBN-13(EAN): 9783642436666 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This comprehensive book gives an up-to-date survey of the relevant bioinspired computing research fields - such as evolutionary computation, artificial life, swarm intelligence and ant colony algorithms - and examines applications in art, music and design.
Автор: Gul Muhammad Khan Название: Evolution of Artificial Neural Development ISBN: 3319674641 ISBN-13(EAN): 9783319674643 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book presents recent research on the evolution of artificial neural development, and searches for learning genes. It is fascinating to see how all biological cells share virtually the same traits, but humans have a decided edge over other species when it comes to intelligence. Although DNA decides the form each particular species takes, does it also account for intelligent behaviour in living beings?
The authors explore the factors that are perceived as intelligent behaviour in living beings and the incorporation of these factors in machines using genetic programming, which ultimately provides a platform for exploring the possibility of machines that can learn by themselves, i.e. that can "learn how to learn."
The book will be of interest not only to the specialized scientific community pursuing machine intelligence, but also general readers who would like to know more about the incorporation of intelligent behaviour in machines, inspired by the human brain.
Автор: Stefano Cagnoni; Marco Mirolli; Marco Villani Название: Evolution, Complexity and Artificial Life ISBN: 3642375766 ISBN-13(EAN): 9783642375767 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book includes chapters from leading scientists in the fields of artificial life, complex systems, and evolutionary computing. The contributions identify both fundamental theoretical issues and state-of-the-art real-world applications.
Автор: St?phane Bonnevay; Pierrick Legrand; Nicolas Monma Название: Artificial Evolution ISBN: 331931470X ISBN-13(EAN): 9783319314709 Издательство: Springer Рейтинг: Цена: 46590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Evolutionary Computation.- Evolutionary Optimization, Co-evolution, .- Artificial Life.- Population Dynamics.- Theory, Algorithmics and Modeling.- Implementations.- Application of Evolutionary Paradigms to the Real World
Автор: Stefano Cagnoni; Marco Mirolli; Marco Villani Название: Evolution, Complexity and Artificial Life ISBN: 3662513285 ISBN-13(EAN): 9783662513286 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book includes chapters from leading scientists in the fields of artificial life, complex systems, and evolutionary computing. The contributions identify both fundamental theoretical issues and state-of-the-art real-world applications.
Автор: Francesco Corea Название: Artificial Intelligence and Exponential Technologies: Business Models Evolution and New Investment Opportunities ISBN: 3319515497 ISBN-13(EAN): 9783319515496 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Recent advancements in machine learning, neuroscience, and artificial intelligence technology will be addressed, and new business models introduced for and by artificial intelligence research will be analyzed.
Автор: Jean-Marc Alliot; Evelyne Lutton; Edmund Ronald; M Название: Artificial Evolution ISBN: 3540611088 ISBN-13(EAN): 9783540611080 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presenting 24 papers from the European Conference on Artificial Evolution, this work deals with: evolutionary computation theory; genetic algorithm techniques; coevolution; neural networks; image processing; and applications to various optimization and other problems.
Автор: Jin-Kao Hao; Evelyne Lutton; Edmund Ronald; Marc S Название: Artificial Evolution ISBN: 3540641696 ISBN-13(EAN): 9783540641698 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume presents 22 full papers on artificial evolution and a survey of the state-of-the-art in scatter search. The papers are organized in topical sections on genetic-algorithm operators, applications in various areas, theoretical issues, methodologies and evolvable hardware and robotics.
Автор: Cyril Fonlupt; Jin-Kao Hao; Evelyne Lutton; Edmund Название: Artificial Evolution ISBN: 3540678468 ISBN-13(EAN): 9783540678465 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This text constitutes the thoroughly refereed post-conference proceedings of the 4th European Conference on Artificial Evolution, AE `99, held in Dunkerque, France in November 1999.
Автор: Richi Nayak; N. Ichalkaranje Название: Evolution of the Web in Artificial Intelligence Environments ISBN: 3642098029 ISBN-13(EAN): 9783642098024 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains the latest research in the area of evolution of Web in artificial intelligence environment. It draws from different Web application areas to provide an overview of important contributions in the development of the Web applications.
Автор: Ertel Название: Introduction to Artificial Intelligence ISBN: 0857292986 ISBN-13(EAN): 9780857292988 Издательство: Springer Рейтинг: Цена: 32560.00 T Наличие на складе: Невозможна поставка. Описание: This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at an associated website.
