Trends and Challenges in Cognitive Modeling : An Interdisciplinary Approach Towards Thinking, Memory, and Decision-Making Simulations / edited by Tomas Veloz, Andrei Khrennikov, Bourama Toni, Ramón D. Castillo.

Format:

Book

Contributor:

Veloz, Tomas, editor.

Series:

STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health, 2520-1948

Language:

English

Subjects (All):

Neural networks (Computer science).

Quantum computing.

Computational complexity.

Computer science--Mathematics.

Computer science.

Mathematical Models of Cognitive Processes and Neural Networks.

Quantum Information.

Computational Complexity.

Mathematical Applications in Computer Science.

Local Subjects:

Mathematical Models of Cognitive Processes and Neural Networks.

Quantum Information.

Computational Complexity.

Mathematical Applications in Computer Science.

Physical Description:

1 online resource (XII, 182 p. 34 illus., 29 illus. in color.)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2023.

Summary:

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.

Contents:

Preface

Introduction: Modern Approaches to the Study of Human Cognition

Use of Agent-based Modeling (ABM) in Psychological Research

Nyayasutra proof pattern: An interpretation of similarity as the fact of sharing two properties

Using Pheromone Trail Algorithm to Model Analog Memory

Review on social laser theory and its applications

Challenges from probabilistic learning for models of brain and behavior

The Emergence of Cognitive and Computation: A Physicalistic Perspective

Analyzing the conjunction fallacy as a fact

Yes ghosts, no unicorns: quantum modeling and causality in physics and beyond

Compositional vector semantics in spiking neural networks

Optimality, Prototypes, and Bilingualism

The Dimensionality of Color Perception

Index.

Notes:

Includes bibliographical references and index.

ISBN:

3-031-41862-X