A Unifying Framework for Formal Theories of Novelty
Discussions, Guidelines, and Examples for Artificial Intelligence
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Beschreibung
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.
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.
Addresses novelty to enhance building both vision-systems and planning-based systems Establishes formal definitions of novelty subtypes that will help produce a consistent lexicon for researchers Includes examples of applications, including image captioning, multi-agent game domain, and handwriting recognition
Autor*in
Terrance Boult
Themen in »A Unifying Framework for Formal Theories of Novelty«
Novelty Detection Open-set Recognition Open-world Learning Anomaly Detection Novelty Theories Computer Vision Computer Science Multi-player Games Machine Learning Symbolic-reasoning Control-based Systems Planning-based Systems Multi-Agent Game Domain