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Journal of Bioeconomics

Social science goes quantum: explaining human decision-making, cognitive biases and Darwinian selection from a quantum perspective

Thomas Holtfort, Andreas Horsch

Published May 10, 2023• 14 citations
Publisher

Abstract

Abstract The social and economic sciences are grounded on the basic assumption that social life, decision-making behavior, and consciousness are classical physical and therefore material phenomena. Quantum social science, a new research area, which refers to the knowledge and interpretations of quantum physics, is challenging this assumption. This paper gives an overview of quantum social science and explains quantum decision theory on the one hand with a focus on the cognitive biases first elaborated by Kahneman & Tversky, and on the other hand by Darwin´s theory of evolution.

DOI
10.1007/s10818-023-09334-w

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Abstract The social and economic sciences are grounded on the basic assumption that social life, decision-making behavior, and consciousness are classical physical and therefore material phenomena. Quantum social science, a new research area, which refers to the knowledge and interpretations of quantum physics, is challenging this assumption. This paper gives an overview of quantum social science and explains quantum decision theory on the one hand with a focus on the cognitive biases first elaborated by Kahneman & Tversky, and on the other hand by Darwin´s theory of evolution.
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Quantum interference effects play a fundamental role in social decision-making, offering a novel perspective beyond classical decision theories. This study explores the theoretical foundations of quantum decision-making, emphasizing the role of quantum probability in explaining cognitive biases, preference reversals, and decision anomalies. The research presents a quantum probability-based decision model and contrasts it with classical probability models. Through theoretical modeling and experimental design, we demonstrate how quantum interference alters decision probabilities and impacts group decision dynamics. The study further examines the applications of quantum decision theory in game theory, policy-making, financial markets, and artificial intelligence. Our findings suggest that quantum probability provides a more comprehensive and realistic framework for understanding human decision-making processes. Future research should focus on empirical validation, interdisciplinary integration, and the application of quantum computing to social decision modeling.
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