| Description |
xiv, 206 pages : illustrations (some color) ; 24 cm |
| Contents |
1. Non-player characters in multiuser games -- 2. Motivation in natural and artificial agents -- 3. Towards motivated reinforcement learning -- 4. Comparing the behaviour of learning agents -- 5. Curiosity, motivation and attention focus -- 6. Motivated reinforcement of learning agents -- 7. Curious characters for multiuser games -- 8. Curious characters for games in complex, dynamic environments -- 9. Curious characters for games in Second life -- 10. Towards the future |
| Summary |
"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."--BOOK JACKET |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Computer games -- Programming.
|
|
Intelligent agents (Computer software)
|
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Reinforcement learning.
|
| Author |
Maher, Mary Lou.
|
| LC no. |
2009926102 |
| ISBN |
3540891862 (hbk.) |
|
9783540891864 (hbk.) |
|
9783540891871 (ebk.) |
|
