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Mental Models and Their Dynamics, Adaptation, and Control - Laila van Ments - Bog

Bag om Mental Models and Their Dynamics, Adaptation, and Control

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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783030858230
  • Indbinding:
  • Paperback
  • Sideantal:
  • 628
  • Udgivet:
  • 28. januar 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 155x34x235 mm.
  • Vægt:
  • 937 g.
  • 8-11 hverdage.
  • 7. december 2024
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Beskrivelse af Mental Models and Their Dynamics, Adaptation, and Control

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.

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