Overview
- 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
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents(13 chapters)
About this book
Authors and Affiliations
-
, Dipartimento di Scienze e Innovazione Te, Università Degli Studi Del Piemonte Orie, Alessandria, Italy
Lorenza Saitta
-
, 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: 978-1-4614-7051-9
Softcover ISBN: 978-1-4899-8874-4
eBook ISBN: 978-1-4614-7052-6
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