Predictive Modeling of Human Behavior: A Quantum-Inspired Approach
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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New Innovation and Idea | Computer and Mathematical Sciences | India | Volume 14 Issue 4, April 2025 | Popularity: 4.7 / 10


     

Predictive Modeling of Human Behavior: A Quantum-Inspired Approach

Mohanraj Muralidharan


Abstract: Understanding and predicting human behavior remains a complex challenge across scientific disciplines. This study explores a quantum-inspired approach to behavioral modeling, drawing on analogies from quantum mechanics to identify potential underlying patterns in human actions. Key parallels include the spatial distribution of individuals analogous to electron orbitals, the dual nature of behavior at individual and group levels resembling wave-particle duality, and the aggregation of collective decisions reflecting quantum wave function collapse. By integrating concepts from quantum cognition and quantum decision theory, this work examines the theoretical foundations, modeling techniques, and limitations of applying quantum analogies to behavioral prediction. The findings suggest that quantum-inspired models may.


Keywords: Quantum Cognition, Human Behavior Modeling, Quantum Decision Theory, Collective Decision-Making, Behavioral Prediction, Wave Function Collapse, P vs NP


Edition: Volume 14 Issue 4, April 2025


Pages: 2249 - 2261


DOI: https://www.doi.org/10.21275/SR25426172118


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Mohanraj Muralidharan, "Predictive Modeling of Human Behavior: A Quantum-Inspired Approach", International Journal of Science and Research (IJSR), Volume 14 Issue 4, April 2025, pp. 2249-2261, https://www.ijsr.net/getabstract.php?paperid=SR25426172118, DOI: https://www.doi.org/10.21275/SR25426172118

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