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Artificial Cognition Architectures, James Crowder; John N. Carbone; Shelli Friess


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Автор: James Crowder; John N. Carbone; Shelli Friess
Название:  Artificial Cognition Architectures
ISBN: 9781489989031
Издательство: Springer
Классификация:

ISBN-10: 148998903X
Обложка/Формат: Paperback
Страницы: 263
Вес: 0.39 кг.
Дата издания: 23.08.2015
Язык: English
Размер: 234 x 156 x 15
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents human intelligence concepts such as Metacognition and Metamemory, framed for autonomous Artificial Intelligence systems. Discussion includes architectural constructs for AI versions of brain functions like the prefrontal cortex, and more.

Artificial Cognition Architectures

Автор: James Crowder; John N. Carbone; Shelli Friess
Название: Artificial Cognition Architectures
ISBN: 146148071X ISBN-13(EAN): 9781461480716
Издательство: Springer
Рейтинг:
Цена: 113190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents human intelligence concepts such as Metacognition and Metamemory, framed for autonomous Artificial Intelligence systems. Discussion includes architectural constructs for AI versions of brain functions like the prefrontal cortex, and more.

Introduction to Artificial Intelligence

Автор: Ertel
Название: Introduction to Artificial Intelligence
ISBN: 0857292986 ISBN-13(EAN): 9780857292988
Издательство: Springer
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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.

Artificial Intelligence for Games

Автор: Millington, Ian, Funge, John
Название: Artificial Intelligence for Games
ISBN: 0123747317 ISBN-13(EAN): 9780123747310
Издательство: Taylor&Francis
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Цена: 72470.00 T
Наличие на складе: Нет в наличии.
Описание: Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques.<br><br>"Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games). <br><br>* The first comprehensive, professional tutorial and reference to implement true AI in games written by an engineer with extensive industry experience.<br>* Walks through the entire development process from beginning to end.<br>* Includes examples from over 100 real games, 10 in-depth case studies, and web site with sample code.

Intelligent Techniques and Tools for Novel System Architectures

Автор: Panagiotis Chountas; Ilias Petrounias
Название: Intelligent Techniques and Tools for Novel System Architectures
ISBN: 3642096360 ISBN-13(EAN): 9783642096365
Издательство: Springer
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Цена: 278580.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents new directions and solutions in broadly perceived intelligent systems. An urgent need this volume has occurred as a result of vivid discussions and presentations at the "IEEE-IS` 2006 - The 2006 Third International IEEE Conference on Intelligent Systems" held in London, UK, September, 2006.

New Network Architectures

Автор: Tania Tronco
Название: New Network Architectures
ISBN: 3642263976 ISBN-13(EAN): 9783642263972
Издательство: Springer
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Цена: 130590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "Future Internet" is a worldwide hot topic. This book presents and discusses the ongoing initiatives and experimental facilities for the creation of new Future Internet Architectures using alternative approaches like Clean Slate and Incremental improvements.

Parallel Architectures and Bioinspired Algorithms

Автор: Francisco Fern?ndez de Vega; Jos? Ignacio Hidalgo
Название: Parallel Architectures and Bioinspired Algorithms
ISBN: 3642427367 ISBN-13(EAN): 9783642427367
Издательство: Springer
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Цена: 121890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book outlines best practices when combining bioinspired algorithms with parallel architectures, describes recent work by leading researchers in the field and offers a map outlining the main paths already explored and new pathways toward the future.

Modeling Human Behavior With Integrated Cognitive Architectures

Автор: Gluck
Название: Modeling Human Behavior With Integrated Cognitive Architectures
ISBN: 0805850481 ISBN-13(EAN): 9780805850482
Издательство: Taylor&Francis
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Цена: 58170.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book documents the accomplishments and lessons learned from the Agent-Based Modeling and Behavior Representation Model Comparison. It examines the ability of a range of integrative cognitive modelings architectures to predict human behavior.


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