Abstraction in Artificial Intelligence and Complex Systems

Name: Abstraction in Artificial Intelligence and Complex Systems
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ISBN: 9781461470519

Lorenza Saitta, Jean-Daniel Zucker

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English

Springer-Verlag New York Inc.
05 June 2013

Computing: general; Data mining; Artificial intelligence; Expert & knowledge-based systems; Computer vision

Summary
Details

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.

By: Lorenza Saitta, Jean-Daniel Zucker
Imprint: Springer-Verlag New York Inc.
Country of Publication: United States
Edition: 2013 ed.
Dimensions: Height: 235mm, Width: 155mm, Spine: 30mm
Weight: 910g
ISBN: 9781461470519
ISBN 10: 146147051X
Pages: 484
Publication Date: 05 June 2013
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active