A Unifying Framework for Formal Theories of Novelty

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A Unifying Framework for Formal Theories of Novelty is written by Terrance Boult and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031330544 (ISBN 10) and 9783031330544 (ISBN 13).

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.