Mental Models and Their Dynamics, Adaptation, and Control / Studies in Systems, Decision and Control Bd.394 (PDF)
A Self-Modeling Network Modeling Approach
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- 2022, 1st ed. 2022, 616 Seiten, Englisch
- Herausgegeben: Jan Treur, Laila van Ments
- Verlag: Springer International Publishing
- ISBN-10: 3030858219
- ISBN-13: 9783030858216
- Erscheinungsdatum: 26.01.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 26 MB
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Sprache:
Englisch
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