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Title A unifying framework for formal theories of novelty : discussions, guidelines, and examples for artificial intelligence / Terrance Boult, Walter Scheirer, editors
Published Cham : Springer, 2024

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Description 1 online resource (xv, 110 pages) : illustrations (some color)
Series Synthesis Lectures on Computer Vision, 2153-1064
Synthesis Lectures on Computer Vision (Springer (Firm)), 2153-1064
Contents A Unifying Framework for Novelty -- Example Application of Framework: CartPole Domain -- Image Classification -- Novelty in Handwriting Recognition -- Visual Media Caption Domain -- Monopoly Multi-Agent Game Domain -- Related Work -- Prior Perspectives on Novelty and Conclusions
Summary 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
Notes Online resource; title from PDF title page (SpringerLink, viewed August 10, 2023)
Subject Artificial intelligence.
Image processing -- Digital techniques.
artificial intelligence.
digital imaging.
Artificial intelligence.
Image processing -- Digital techniques.
Form Electronic book
Author Boult, Terrance E., editor.
Scheirer, Walter J., editor.
ISBN 9783031330544
3031330544