Autor: Lorenza Saitta
ISBN-13: 9781461470519
Veröffentl: 18.06.2013
Einband: Book
Seiten: 484
Gewicht: 883 g
Format: 244x159x32 mm
Sprache: Englisch

Abstraction in Artificial Intelligence and Complex Systems

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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
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.
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.
Autor: Lorenza Saitta, Jean-Daniel Zucker
InhaltsangabeIntroduction.- 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.

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Autor: Lorenza Saitta
ISBN-13:: 9781461470519
ISBN: 146147051X
Erscheinungsjahr: 18.06.2013
Verlag: Springer-Verlag GmbH
Gewicht: 883g
Seiten: 484
Sprache: Englisch
Sonstiges: Buch, 244x159x32 mm, 170 schwarz-weiße und 16 farbige Abbildungen, 23 schwarz-weiße Tabellen