Mental Models and Their Dynamics, Adaptation, and Control: A Self-Modeling Network Modeling Approach

Jan Treur (Curatore)

Laila Van Ments (Curatore)

Springer Nature Switzerland AG, 2022

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.

• Curatore: Jan Treur, Laila Van Ments
• Editore: Springer Nature Switzerland AG
• Collana: Studies in Systems, Decision and Control
• Anno: 2022
• Rilegatura: Hardback
• Pagine: 616 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783030858209

Testo in English