Abstraction in Artificial Intelligence and Complex Systems

Abstraction is a fundamental mechanism underlying both human and artificial perception, representation of knowledge, reasoning and learning. This mechanism plays a crucial role in many disciplines, notably Computer Programming, Natural and Artificial Vision, Complex Systems, Artificial Intelligence...

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Main Author: Saitta, Lorenza.
Corporate Author: SpringerLink (Online service)
Other Authors: Zucker, Jean-Daniel.
Format: Electronic
Language: English
Published: New York, NY : Springer New York : 2013.
Subjects:
Online Access: http://dx.doi.org/10.1007/978-1-4614-7052-6
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100 1 |a Saitta, Lorenza.  |e author. 
245 1 0 |a Abstraction in Artificial Intelligence and Complex Systems  |h [electronic resource] /  |c by Lorenza Saitta, Jean-Daniel Zucker. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2013. 
300 |a XVI, 484 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Introduction -- Abstraction in Different Disciplines -- Abstraction in Artificial Intelligence -- Definitions of Abstraction -- Boundaries of Abstraction -- The KRA Model -- Abstraction Operators and Design Patterns -- Properties of the KRA Model -- Abstraction in Machine Learning -- Simplicity, Complex Systems, and Abstraction -- Case Studies and Applications -- Discussion -- Conclusion. 
520 |a Abstraction is a fundamental mechanism underlying both human and artificial perception, representation of knowledge, reasoning and learning. This mechanism plays a crucial role in many disciplines, notably Computer Programming, Natural and Artificial Vision, Complex Systems, Artificial Intelligence and Machine Learning, Art, and Cognitive Sciences. This book first provides the reader with an overview of the notions of abstraction proposed in various disciplines by comparing both commonalities and differences.  After discussing the characterizing properties of abstraction, a formal model, the KRA model, is presented to capture them. This model makes the notion of abstraction easily applicable by means of the introduction of a set of abstraction operators and abstraction patterns, reusable across different domains and applications. It is the impact of abstraction in Artificial Intelligence, Complex Systems and Machine Learning which creates the core of the book.  A general framework, based on the KRA model, is presented, and its pragmatic power is illustrated with three case studies: Model-based diagnosis, Cartographic  Generalization, and learning Hierarchical Hidden Markov Models. 
650 0 |a Computer science. 
650 0 |a Data mining. 
650 0 |a Artificial intelligence. 
650 0 |a Image processing. 
650 0 |a Application software. 
650 1 4 |a Computer Science. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Image Processing and Computer Vision. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Computer Appl. in Arts and Humanities. 
700 1 |a Zucker, Jean-Daniel.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781461470519 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4614-7052-6 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645) 
999 |c 36081  |d 36081