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

This book provides a generic approach to model the use and adaptation of mental models, allowing for computational modeling of humans without algorithmic or programming skills. It is suitable for multidisciplinary Master and Ph.D. students.

Format: Paperback / softback
Length: 616 pages
Publication date: 28 January 2023
Publisher: Springer Nature Switzerland AG

Humans frequently employ internal mental models as a framework for understanding and predicting the behavior of both themselves and others. These mental models serve as a mental representation of the world and its processes, enabling individuals to anticipate and prepare for future events. Mental models are typically adaptive, meaning they can be learned, refined, revised, or forgotten over time. While there exists a substantial body of literature on mental models across various disciplines, a comprehensive and transparent computational approach to modeling them remains lacking.

This innovative approach enables the computational modeling of human behavior and cognition using mental models, eliminating the need for specialized algorithmic or programming skills. Instead, it focuses on facilitating the conceptualization, modeling, and simulation of complex real-world mental processes and behaviors. The book is designed to cater to a diverse audience, including multidisciplinary Master and Ph.D. students.

By adopting this approach, students can gain a deeper understanding of the human mind and its cognitive processes, which can have applications in fields such as psychology, neuroscience, education, and computer science. The book provides a comprehensive and systematic framework for modeling mental models, covering topics such as representation, inference, learning, and adaptation. It also includes case studies and examples to illustrate the practical applications of mental modeling in real-world scenarios.

In conclusion, this book offers a groundbreaking approach to modeling mental models, providing a valuable resource for students and researchers interested in understanding and simulating human behavior and cognition. Its multidisciplinary nature and practical applications make it an essential tool for advancing our knowledge of the human mind and its complex processes.

Weight: 949g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030858230
Edition number: 1st ed. 2022