The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems: 5225 2008th Edition

The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems: 5225 2008th Edition book cover

The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems: 5225 2008th Edition

Author(s): Giovanni Pezzulo (Editor), Martin V. Butz (Editor), Cristiano Castelfranchi (Editor), Rino Falcone (Editor)

  • Publisher: Springer
  • Publication Date: 16 Sept. 2008
  • Edition: 2008th
  • Language: English
  • Print length: 304 pages
  • ISBN-10: 3540877010
  • ISBN-13: 9783540877011

Book Description

This book proposes a unifying approach for the analysis and design of artificial cognitive systems: The Anticipatory Approach. In 11 coherent chapters, the authors of this state-of-the-art survey propose a foundational view of the importance of dealing with the future, of gaining some autonomy from current environmental data, and of endogenously generating sensorimotor and abstract representations. A meaningful taxonomy for anticipatory cognitive mechanisms is put forward, which distinguishes between the types of predictions and the different influences of these predictions on actual behavior and learning. Thus a new unifying perspective on cognitive systems is given. The Anticipatory Approach described in this book will not only aid in the analysis of cognitive systems, but will also serve as an inspiration and guideline for the progressively more advanced and competent design of large, but modular, artificial cognitive systems.

Editorial Reviews

From the Back Cover

This book proposes a unifying approach for the analysis and design of artificial cognitive systems: The Anticipatory Approach. In 11 coherent chapters, the authors of this State-of-the-Art Survey propose a foundational view of the importance of dealing with the future, of gaining some autonomy from current environmental data, and of endogenously generating sensorimotor and abstract representations. A meaningful taxonomy for anticipatory cognitive mechanisms is put forward, which distinguishes between the types of predictions and the different influences of these predictions on actual behavior and learning. Thus a new unifying perspective on cognitive systems is given.

The Anticipatory Approach described in this book will not only aid in the analysis of cognitive systems, but will also serve as an inspiration and guideline for the progressively more advanced and competent design of large, but modular, artificial cognitive systems.

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