At first glance, quantum mechanics and behavioural science may appear to belong to entirely separate domainsone rooted in subatomic particles and mathematical formalisms, the other in human thoughts, decisions and emotions. However, recent research reveals a surprising and powerful connection between them. This book investigates that connection through quantum models of cognition and decision-making, illustrating how principles from quantum theory can help us understand ambiguity, bias and perception in ways that classical logic cannot.
This book introduces a practical and computationally accessible framework based on quantum theory. Readers are invited not only to explore vivid case studiesfrom visual illusions in video games to decision biases in politics and financebut also to engage directly with the methods. Supporting computer code is provided so that readers can experiment with their own models and ideas immediately after reading. Combining insights from physics, psychology, artificial intelligence and economics, this work offers an innovative perspective on how we think, choose and interact as individuals and societies.
Chapter
1. Quantum Cognition.
Chapter
2. Opinion Polarisation in Social
Networks.
Chapter
3. High-Risk Decision-Making and Human Behaviour Models in
Video Games.
Chapter
4. Quantum Perception.
Chapter
5. Imprecision of Human
Preferences.
Chapter
6. Quantum-Cognitive Artificial Neural Networks.-
Chapter
7. Converting a Traditional Neural Network into a Quantum-Cognitive
Model: A Tutorial.
Chapter
8. Case Study: Quantum-Cognitive Neural Networks
for Next-Generation Defence.
Chapter
9. Neuromorphic Implementation of
Quantum-Cognitive Models.
Chapter
10. Quantum Cognition and Quantum Zeno
Effect for Neuromorphic Reservoir Computing.
Chapter
11. Quantum Cognition
and Quantum Mind: Exploring Conceptual and Physical Links.
Chapter
12.
Concluding Remarks, Additional Applications and Prospects for FutureWork.-
Chapter
13. General Outlook.
Dr. Maksymov began his academic journey at the renowned Kharkov Physics School, founded by Nobel Laureate Lev Landau, and continued his work at one of Europes leading optics and photonics research centres. He held the prestigious Australian Research Council Future Fellowship, cementing his reputation as one of Australias foremost scientists and earning a place on Stanford Universitys list of the Worlds Top 2% Researchers. Currently, he leads research in quantum neural networks, human cognition and machine learning, merging physics and AI in ways that push the boundaries of both technological innovation and our understanding of the human mind. He was awarded the IgNobel Prize in Physics in 2020.
