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Kategorie szczegółowe BISAC

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

ISBN-13: 9783030858230 / Angielski / Miękka / 2023 / 616 str.

Jan Treur; Laila Van Ments
Mental Models and Their Dynamics, Adaptation, and Control: A Self-Modeling Network Modeling Approach Jan Treur Laila Va 9783030858230 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

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

ISBN-13: 9783030858230 / Angielski / Miękka / 2023 / 616 str.

Jan Treur; Laila Van Ments
cena 682,72
(netto: 650,21 VAT:  5%)

Najniższa cena z 30 dni: 655,41
Termin realizacji zamówienia:
ok. 22 dni roboczych
Dostawa w 2026 r.

Darmowa dostawa!
inne wydania

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.

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.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Automation
Technology & Engineering > Engineering (General)
Technology & Engineering > Electrical
Wydawca:
Springer
Seria wydawnicza:
Studies in Systems, Decision and Control
Język:
Angielski
ISBN-13:
9783030858230
Rok wydania:
2023
Wydanie:
2022
Numer serii:
000477984
Ilość stron:
616
Waga:
0.86 kg
Wymiary:
23.39 x 15.6 x 3.23
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

Dynamics, Adaptation and Control for Mental Models: A Cognitive Architecture.- Bringing Networks to the Next Level: Self-Modeling Networks for Adaptivity and Control of Mental Models.- On Becoming a Good Driver: Modeling the Learning of a Mental Model.- Controlling Your Mental Models: Using Metacognition to Control Use and Adaptation for Multiple Mental Models.- Disturbed by Flashbacks: a Controlled Adaptive Network Model Addressing Mental Models for Flashbacks from PTSD.

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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