TY  - BOOK
AU  - Pezzulo,Giovanni
AU  - Butz,Martin V.
AU  - Castelfranchi,Cristiano
AU  - Falcone,Rino
ED  - SpringerLink (Online service)
TI  - The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems 
T2  - Lecture Notes in Computer Science,
SN  - 9783540877028
AV  - Q334-342 
U1  - 006.3 23
PY  - 2008///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Artificial intelligence
KW  - Computer simulation
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Simulation and Modeling
KW  - Models and Principles
KW  - Probability and Statistics in Computer Science
KW  - User Interfaces and Human Computer Interaction
KW  - Computation by Abstract Devices
N1  - Theory -- Introduction: Anticipation in Natural and Artificial Cognition -- The Anticipatory Approach: Definitions and Taxonomies -- Benefits of Anticipations in Cognitive Agents -- Models, Architectures, and Applications -- Anticipation in Attention -- Anticipatory, Goal-Directed Behavior -- Anticipation and Believability -- Anticipation and Emotions for Goal Directed Agents -- A Reinforcement-Learning Model of Top-Down Attention Based on a Potential-Action Map -- Anticipation by Analogy -- Anticipation in Coordination -- Endowing Artificial Systems with Anticipatory Capabilities: Success Cases
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-540-87702-8
ER  -