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Metareasoning for Robots: Adapting in Dynamic and Uncertain Environments. Second Edition 2026
・ISBN 978-3-032-12002-1 hard EUR 49.99
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| 著者・編者 | Herrmann, Jeffrey W., |
|---|---|
| シリーズ | (Synthesis Lectures on Computer Science) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 106 pp. |
| 言語 | ENG |
| ニュース番号 | <A05-3765> |
解説
This Second Edition provides an essential resource that robotics researchers and engineers can use to make their robots smarter. This book includes design guidelines and helpful examples from state-of-the-art research. The author utilizes a systems engineering perspective in which metareasoning is an approach that can improve the overall robot or autonomous system, not just one component or subsystem. The book introduces key concepts, discusses design options for metareasoning approaches and policies, and describes the process of developing and testing metareasoning approaches. This new edition includes new research, new examples, and added discussion of adjustable autonomy and competence-aware systems.