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A Unifying Framework for Formal Theories of Novelty : Discussions, Guidelines, and Examples for Artificial Intelligence, Hardback Book

A Unifying Framework for Formal Theories of Novelty : Discussions, Guidelines, and Examples for Artificial Intelligence Hardback

Edited by Terrance Boult, Walter Scheirer

Part of the Synthesis Lectures on Computer Vision series

Hardback

Description

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.                   

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