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A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence. 2024 ed.
・ISBN 978-3-031-33056-8 paper EUR 39.99
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| 著者・編者 | Boult, Terrance / Scheirer, Walter (eds.), |
|---|---|
| シリーズ | (Synthesis Lectures on Computer Vision) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2024 |
| ページ数 | 110 pp. |
| 言語 | ENG |
| ニュース番号 | <A03-66980> |
解説
This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems. Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general intelligent systems. The book presents examples of using this framework to define and evaluate in multiple domains including image recognition image-based open world learning, hand-writing and author analysis, CartPole Control, Image Captioning, and Monopoly. Chapters are written by well-known contributors to this new and emerging field. In addition, examples are provided from multiple areas, such as machine-learning based control problems, symbolic reasoning, and multi-player games.