Items related to Mental Models and Their Dynamics, Adaptation, and Control:...

Mental Models and Their Dynamics, Adaptation, and Control: A Self-Modeling Network Modeling Approach: 394 (Studies in Systems, Decision and Control, 394) - Hardcover

Book 365 of 378: Studies in Systems, Decision and Control
 
9783030858209: Mental Models and Their Dynamics, Adaptation, and Control: A Self-Modeling Network Modeling Approach: 394 (Studies in Systems, Decision and Control, 394)
Hardcover
ISBN 10: 3030858200 ISBN 13: 9783030858209
Publisher: Springer, 2022

Synopsis

This book introduces a generic approach to model the use and adaptation of mental models, including the control over this. In their mental processes, humans often make use of internal mental models as a kind of blueprints for processes that can take place in the world or in other persons. By internal mental simulation of such a mental model in their brain, they can predict and be prepared for what can happen in the future. Usually, mental models are adaptive: they can be learned, refined, revised, or forgotten, for example. Although there is a huge literature on mental models in various disciplines, a systematic account of how to model them computationally in a transparent manner is lacking. This approach allows for computational modeling of humans using mental models without a need for any algorithmic or programming skills, allowing for focus on the process of conceptualizing, modeling, and simulating complex, real-world mental processes and behaviors. The book is suitable for and is used as course material for multidisciplinary Master and Ph.D. students.

"synopsis" may belong to another edition of this title.

From the Back Cover

This book introduces a generic approach to model the use and adaptation of mental models, including the control over this. In their mental processes, humans often make use of internal mental models as a kind of blueprints for processes that can take place in the world or in other persons. By internal mental simulation of such a mental model in their brain, they can predict and be prepared for what can happen in the future. Usually, mental models are adaptive: they can be learned, refined, revised, or forgotten, for example. Although there is a huge literature on mental models in various disciplines, a systematic account of how to model them computationally in a transparent manner is lacking. This approach allows for computational modeling of humans using mental models without a need for any algorithmic or programming skills, allowing for focus on the process of conceptualizing, modeling, and simulating complex, real-world mental processes and behaviors. The book is suitable for and is used as course material for multidisciplinary Master and Ph.D. students.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2022
Language
English
ISBN 10 
3030858200
ISBN 13 
9783030858209
Binding
Hardcover
Edition number
1
Number of pages
627
Editor
Treur Jan, Van Ments Laila