Artificial Intelligence for Games,Third Edition, Millington

Автор: Millington, Ian, Funge, John
Название: Artificial Intelligence for Games
ISBN: 0123747317 ISBN-13(EAN): 9780123747310
Издательство: Taylor&Francis
Рейтинг:
Цена: 72470.00 T
Наличие на складе: Поставка под заказ.
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.

Автор: Geraci Robert M.
Название: Apocalyptic AI: Visions of Heaven in Robotics, Artificial Intelligence, and Virtual Reality
ISBN: 0195393023 ISBN-13(EAN): 9780195393026
Издательство: Oxford Academ
Рейтинг:
Цена: 29560.00 T
Наличие на складе: Поставка под заказ.
Описание: Apocalyptic AI, the hope that we might one day upload our minds into machines and live forever in cyberspace, has become commonplace. This view now affects robotics and AI funding, play in online games, and philosophical and theological conversations about morality and human dignity.

Автор: Stirling
Название: Theory of Conditional Games
ISBN: 110742898X ISBN-13(EAN): 9781107428980
Издательство: Cambridge Academ
Рейтинг:
Цена: 51750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Game theory explains how to make good choices when different decision makers have conflicting interests. The classical approach assumes that decision makers are committed to making the best choices for themselves regardless of the effect on others, but such an approach is less appropriate when cooperation, compromise and negotiation are important. This book describes conditional games, a form of game theory that accommodates multiple stakeholder decision-making scenarios where cooperation and negotiation are significant issues and where notions of concordant group behavior are important. Using classical binary preference relations as a point of departure, the book extends the concept of a preference ordering that permits stakeholders to modulate their preferences as functions of the preferences of others. As these conditional preferences propagate through a group of decision makers, they create social bonds that lead to notions of group concordance. This book is intended for all students and researchers of decision theory and game theory.

Автор: Georgios N. Yannakakis; Julian Togelius
Название: Artificial Intelligence and Games
ISBN: 3319635182 ISBN-13(EAN): 9783319635187
Издательство: Springer
Рейтинг:
Цена: 30740.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first textbook dedicated to explaining how artificial intelligence (AI) techniques can be used in and for games. After introductory chapters that explain the background and key techniques in AI and games, the authors explain how to use AI to play games, to generate content for games and to model players.

Автор: Pedro Antonio Gonz?lez-Calero; Marco Antonio G?mez
Название: Artificial Intelligence for Computer Games
ISBN: 1493900536 ISBN-13(EAN): 9781493900534
Издательство: Springer
Рейтинг:
Цена: 121890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This reviews the integration of current academic AI techniques into electronic entertainment games, including pathfinding, decision making, learning complex behavior, and the latest real-time search methods, all aimed at closer interaction with the player.

Автор: Eun-Youn Kim, Daniel Ashlock
Название: On the Design of Game-Playing Agents
ISBN: 1681731622 ISBN-13(EAN): 9781681731629
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 61910.00 T
Наличие на складе: Невозможна поставка.
Описание: Summarises, explores, and extends recent work showing that there are many unsuspected factors that must be controlled in order to create a plausible or useful set of agents for modelling cooperation and conflict, deal making, or other social behaviours. The book also provides a proposal for an agent training protocol that is intended as a step toward being able to train humaniform agents.

Автор: J.-J. Ch. Meyer, W. van der Hoek
Название: Epistemic Logic for AI and Computer Science
ISBN: 0521602807 ISBN-13(EAN): 9780521602808
Издательство: Cambridge Academ
Рейтинг:
Цена: 61240.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, based on courses taught at universities and summer schools, provides a broad introduction to the subject; many exercises are included with their solutions.

Автор: Amal Kumar Adak
Название: Emerging Research on Applied Fuzzy Sets and Intuitionistic Fuzzy Matrices
ISBN: 1522509143 ISBN-13(EAN): 9781522509141
Издательство: Turpin
Рейтинг:
Цена: 199950.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The use of fuzzy logic has become prominent in a variety of fields and applications. By implementing these logic sets, problems and uncertainties are more effectively resolved.Emerging Research on Applied Fuzzy Sets and Intuitionistic Fuzzy Matrices is a pivotal reference source for the latest scholarly perspectives on the interdisciplinary use of fuzzy logic theory, focusing on the application of sets and matrices. Highlighting theoretical framework and empirical research findings, this book is ideally designed for academics, practitioners, upper-level students, and professionals interested in an innovative overview of fuzzy logic sets and matrices.

Автор: Walter J. Scheirer
Название: Extreme Value Theory-Based Methods for Visual Recognition
ISBN: 1627057005 ISBN-13(EAN): 9781627057004
Издательство: Turpin
Рейтинг:
Цена: 68930.00 T
Наличие на складе: Невозможна поставка.
Описание: A common feature of many approaches to modeling sensory statistics is an emphasis on capturing the ""average."" From early representations in the brain, to highly abstracted class categories in machine learning for classification tasks, central-tendency models based on the Gaussian distribution are a seemingly natural and obvious choice for modeling sensory data. However, insights from neuroscience, psychology, and computer vision suggest an alternate strategy: preferentially focusing representational resources on the extremes of the distribution of sensory inputs. The notion of treating extrema near a decision boundary as features is not necessarily new, but a comprehensive statistical theory of recognition based on extrema is only now just emerging in the computer vision literature. This book begins by introducing the statistical Extreme Value Theory (EVT) for visual recognition. In contrast to central-tendency modeling, it is hypothesized that distributions near decision boundaries form a more powerful model for recognition tasks by focusing coding resources on data that are arguably the most diagnostic features. EVT has several important properties: strong statistical grounding, better modeling accuracy near decision boundaries than Gaussian modeling, the ability to model asymmetric decision boundaries, and accurate prediction of the probability of an event beyond our experience. The second part of the book uses the theory to describe a new class of machine learning algorithms for decision making that are a measurable advance beyond the state-of-the-art. This includes methods for post-recognition score analysis, information fusion, multi-attribute spaces, and calibration of supervised machine learning algorithms.

Автор: Saifullah Khalid
Название: Applied computational intelligence and soft computing in engineering /
ISBN: 1522531297 ISBN-13(EAN): 9781522531296
Издательство: Turpin
Рейтинг:
Цена: 252560.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Although computational intelligence and soft computing are both well-known fields, using computational intelligence and soft computing in conjunction is an emerging concept. This combination can effectively be used in practical areas of various fields of research. Applied Computational Intelligence and Soft Computing in Engineering is an essential reference work featuring the latest scholarly research on the concepts, paradigms, and algorithms of computational intelligence and its constituent methodologies such as evolutionary computation, neural networks, and fuzzy logic. Including coverage on a broad range of topics and perspectives such as cloud computing, sampling in optimization, and swarm intelligence, this publication is ideally designed for engineers, academicians, technology developers, researchers, and students seeking current research on the benefits of applying computation intelligence techniques to engineering and technology.

Автор: SHANDILYA, SHANDILYA, DEEP & NAG
Название: Handbook of research on soft computing and nature-inspired algorithms
ISBN: 1522521283 ISBN-13(EAN): 9781522521280
Издательство: Turpin
Рейтинг:
Цена: 275970.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the learning process of machines. The Handbook of Research on Soft Computing and Nature-Inspired Algorithms is an essential source for the latest scholarly research on applications of nature-inspired computing and soft computational systems. Featuring comprehensive coverage on a range of topics and perspectives such as swarm intelligence, speech recognition, and electromagnetic problem solving, this publication is ideally designed for students, researchers, scholars, professionals, and practitioners seeking current research on the advanced workings of intelligence in computing systems.

Автор: Li, Fanzhang / Zhang, Li / Zhang, Zhao
Название: Dynamic Fuzzy Machine Learning
ISBN: 3110518708 ISBN-13(EAN): 9783110518702
Издательство: Walter de Gruyter
Рейтинг:
Цена: 149590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors carried out more than 20 years of research, and show in this book their most important results. The seven chapters of the book are devoted to key topics such as dynamic fuzzy machine learning models, dynamic fuzzy self-learning subspace algorithms, fuzzy decision tree learning, dynamic concepts based on dynamic fuzzy sets, semi-supervised multi-task learning based on dynamic fuzzy data, dynamic fuzzy hierarchy learning, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, data analysis, mathematics, management, cognitive science, and finance. It can be also used as the basis for teaching the principles of dynamic fuzzy learning.