Overview
- Motivated reinforcement learning agents are applied as a novel approach to designing dynamic, adaptive characters for multiuser, online games
- Includes supplementary material: sn.pub/extras
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Table of contents (10 chapters)
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Front Matter
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Non-Player Characters and Reinforcement Learning
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Front Matter
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Developing Curious Characters Using Motivated Reinforcement Learning
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Front Matter
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Curious Characters in Games
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Front Matter
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Future
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Front Matter
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Back Matter
Keywords
About this book
Motivated learning is an emerging research field in artificial intelligence and cognitive modelling. Computational models of motivation extend reinforcement learning to adaptive, multitask learning in complex, dynamic environments – the goal being to understand how machines can develop new skills and achieve goals that were not predefined by human engineers. In particular, this book describes how motivated reinforcement learning agents can be used in computer games for the design of non-player characters that can adapt their behaviour in response to unexpected changes in their environment.
This book covers the design, application and evaluation of computational models of motivation in reinforcement learning. The authors start with overviews of motivation and reinforcement learning, then describe models for motivated reinforcement learning. The performance of these models is demonstrated by applications in simulated game scenarios and a live, open-ended virtual world.
Researchers in artificial intelligence, machine learning and artificial life will benefit from this book, as will practitioners working on complex, dynamic systems – in particular multiuser, online games.
Authors and Affiliations
Bibliographic Information
Book Title: Motivated Reinforcement Learning
Book Subtitle: Curious Characters for Multiuser Games
Authors: Kathryn Merrick, Mary Lou Maher
DOI: https://doi.org/10.1007/978-3-540-89187-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-540-89186-4Published: 27 May 2009
Softcover ISBN: 978-3-642-10035-2Published: 19 October 2010
eBook ISBN: 978-3-540-89187-1Published: 12 June 2009
Edition Number: 1
Number of Pages: XIV, 206
Number of Illustrations: 86 b/w illustrations, 32 illustrations in colour
Topics: Artificial Intelligence, User Interfaces and Human Computer Interaction, Computer Graphics, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer-Aided Engineering (CAD, CAE) and Design