Authors:
Collects, describes and compares various approaches to abstraction proposed in the literature of various fields
Discusses why abstraction plays a key role in AI artifacts, using concrete examples, such as cartographic generalization and human/robot interaction
Provides a conceptualization framework to design effective systems
Includes supplementary material: sn.pub/extras
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Table of contents (13 chapters)
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Front Matter
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Back Matter
About this book
Keywords
- Abstraction
- Abstraction Applications
- Complex Systems
- Computational Complexity
- Knowledge Representation
- Machine Learning
- Representation Change
Authors and Affiliations
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, Dipartimento di Scienze e Innovazione Te, Università Degli Studi Del Piemonte Orie, Alessandria, Italy
Lorenza Saitta
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, International Research Unit UMMISCO 209, Research Institute for Development (IRD), Bondy, France
Jean-Daniel Zucker
Bibliographic Information
Book Title: Abstraction in Artificial Intelligence and Complex Systems
Authors: Lorenza Saitta, Jean-Daniel Zucker
DOI: https://doi.org/10.1007/978-1-4614-7052-6
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-7051-9Published: 05 June 2013
Softcover ISBN: 978-1-4899-8874-4Published: 08 July 2015
eBook ISBN: 978-1-4614-7052-6Published: 05 June 2013
Edition Number: 1
Number of Pages: XVI, 484
Topics: Artificial Intelligence, Image Processing and Computer Vision, Data Mining and Knowledge Discovery, Computer Appl. in Arts and Humanities