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Springer Mental Models and Their Dynamics - Studies in Systems 394

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Description

Explore the complex ways humans use internal mental models to navigate the world. This academic text from Springer introduces a generic approach to modeling how mental models are used, adapted, and controlled. By understanding these internal blueprints, readers can gain insight into how people simulate processes in their brains to predict and prepare for future events. This work focuses on the adaptive nature of mental models, examining how they are learned, refined, revised, or forgotten. It provides a specialized self-modeling network modeling approach to study these cognitive processes. It is a valuable resource for those studying systems, decision-making, and control within the context of artificial intelligence and machine learning.

Key Features

Introduces a generic approach to modeling the use and adaptation of mental models.

Explores how internal mental simulations help predict and prepare for future events.

Analyzes how mental models are learned, refined, revised, or forgotten over time.

Provides a specialized self-modeling network modeling approach for study.

Part of the Studies in Systems, Decision and Control series, volume 394.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 January 2022
Listed Since
27 July 2021

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