Utilizing principles from quantum theory, the authors introduce innovative approaches to modeling probabilistic-dynamic systems, enhancing our understanding of human cognition and decision-making. This work explores how these advanced models can provide deeper insights into cognitive phenomena, challenging traditional probabilistic frameworks and opening new avenues for research in cognitive science.
Focusing on the foundational methods for building and testing cognitive models, this book offers a clear introduction tailored for students. Authors Busemeyer and Diederich address common questions faced by researchers, distinguishing cognitive models from other types and guiding readers through model development. Each chapter presents a key problem, accompanied by illustrative examples and a summary of core principles, ensuring an accessible approach to cognitive modeling that stands out in the field.
A comprehensive, authoritative review of historical and recent developments in computational and mathematical psychology. Written in an accessible style by leading scientists in each topic area, with an emphasis on examples and applications. Each chapter is self contained and aims to engage readers possessing various levels of modeling experience. For graduate students, researchers, and scholars studying brain science and related fields
This book constitutes the refereed proceedings of the 6th International Symposium on Quantum Interaction, QI 2012, held in Paris in June 2012. The 21 revised full papers presented were carefully reviewed and selected from 32 submissions. The papers cover various topics on quantum interaction.