Abstraction in Artificial Intelligence and Complex Systems

Saitta, Lorenza; Zucker, Jean-Daniel

ISBN 10: 1489988742 / ISBN 13: 9781489988744

Edité par Springer, 2015

A propos de cet article

pp. 484.

N° de réf. du vendeur 26372638399

Détails bibliographiques

• Titre: Abstraction in Artificial Intelligence and Complex Systems
• Éditeur: Springer
• Date de parution: 2015
• Langue: anglais
• ISBN à 10 chiffres: 1489988742
• ISBN à 13 chiffres: 9781489988744
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Synopsis

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.