Mental Models and Their Dynamics, Adaptation, and Control

A Self-Modeling Network Modeling Approach de

,

Éditeur :

Springer


Paru le : 2022-01-26

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
168,79

Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description
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.
Pages
616 pages
Collection
n.c
Parution
2022-01-26
Marque
Springer
EAN papier
9783030858209
EAN PDF
9783030858216

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
61
Taille du fichier
27351 Ko
Prix
168,79 €
EAN EPUB
9783030858216

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
61
Taille du fichier
141107 Ko
Prix
168,79 €

Suggestions personnalisées