Name: Trends and Challenges in Cognitive Modeling. An Interdisciplinary Approach Towards Thinking, Memory, and Decision-Making Simulations
Price: 350177.00 COP
Availability: InStock
Author: Andrei Khrennikov;Tomas Veloz;Ramon D. Castillo;Bourama Toni
ISBN: 9783031418648

portada Trends and Challenges in Cognitive Modeling. An Interdisciplinary Approach Towards Thinking, Memory, and Decision-Making Simulations

Trends and Challenges in Cognitive Modeling. An Interdisciplinary Approach Towards Thinking, Memory, and Decision-Making Simulations

Formato

Libro Físico

Editorial

Springer International Publishing AG

Autor

Andrei Khrennikov;Tomas Veloz;Ramon D. Castillo;Bourama Toni

Colección

STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health

Año

2024

N° páginas

182

Encuadernación

Tapa Blanda

Dimensiones

23.50 x 15.50 cm

ISBN13

9783031418648

Trends and Challenges in Cognitive Modeling. An Interdisciplinary Approach Towards Thinking, Memory, and Decision-Making Simulations

Andrei Khrennikov;Tomas Veloz;Ramon D. Castillo;Bourama Toni (Autor) · Springer International Publishing AG · Tapa Blanda

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Reseña del libro "Trends and Challenges in Cognitive Modeling. An Interdisciplinary Approach Towards Thinking, Memory, and Decision-Making Simulations"

This book presents interdisciplinary research in the science of Human Cognition through mathematical and computational modeling and simulation. Featuring new approaches developed by leading experts in the field of cognitive science, it highlights the relevance and depth of this important area of social sciences and its expanding reach into the biological, physical, computational and mathematical sciences. This contributed volume compiles the most recent advancements and cutting-edge applications of cognitive modeling, employing a genuinely multidisciplinary approach to simulate thinking, memory, and decision-making. The topics covered encompass a wide range of subjects, such as Agent-based Modeling in psychological research, the Nyayasutra proof pattern, the utilization of the Pheromone Trail Algorithm for modeling Analog Memory, the theory and practical applications of Social Laser Theory, addressing the challenges of probabilistic learning in brain and behavior models, adopting a Physicalistic perspective to understand the emergence of cognition and computation, an in-depth analysis of the conjunction fallacy as a factual occurrence, exploring quantum modeling and causality in physics and its extensions, examining compositional vector semantics within spiking neural networks, delving into the realms of Optimality, Prototypes, and Bilingualism, and finally, investigating the intricate dimensionality of color perception. Given its scope and approach, the book will benefit researchers and students of computational social sciences, mathematics and its applications, quantum physics.