Quantum superposition in behavioral modeling allows individuals to be represented as existing in multiple behavioral states simultaneously, with different probabilities for different behaviors. This representation captures the uncertainty and gradual nature of behavioral change processes more accurately than classical binary models .[1148]
Source 1: Nature Scientific Reports (2022)Title: "A quantum-like cognitive approach to modeling human biased selection behavior"
Authors: Aghdas Meghdadi, M. R. Akbarzadeh-T, Kurosh Javidan
Journal: Scientific Reports, volume 12, Article number: 22545 (2022)
URL: https://www.nature.com/articles/s41598-022-13757-2
Published: 29 December 2022
Key Findings:•Introduces a cognitive quantum-like approach for modeling human biases by simulating society as a quantum system•Uses Quantum-like Bayesian network (QBN) structure•Proposes that quantum probability can model uncertainty and complex decision-making better than classical models•States that "Entangled QBN structure is particularly suitable for modeling bias behavior due to changing the state of systems with each observation"•Models biases caused by emotions and past experiences through "social entanglement concept motivated by entanglement in quantum physics"
Relevance to User's Paragraph 1:
This paper appears to be a potential source for concepts about quantum superposition representing multiple behavioral states simultaneously with different probabilities, though the exact wording from the user's paragraph is not found yet.
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2. Quantum entanglement in behavioral modeling can capture how the behavioral states of different individuals become correlated through social interactions, creating complex dependencies that affect the spread of behavioral change through networks .[1149]
Source 2: IEEE Transactions on Cybernetics (2022)Title: "A Quantum-Like Model for Predicting Human Decisions in the Entangled Social Systems"
Authors: Aghdas Meghdadi, Mohammad-R. Akbarzadeh-T., Kurosh Javidan
Journal: IEEE Transactions on Cybernetics, Volume 52, Issue 7, July 2022
Pages: 5778-5788
Published: 19 January 2022
URL: https://ieeexplore.ieee.org/abstract/document/9686611/
PubMed ID: 35044924
Key Findings:•Introduces the concept of entanglement from quantum information theory to Bayesian networks (BNs)•Creates an "entangled quantum-like BN (QBN), in which each human is a part of the entire society"•States that "society's effect on the dynamic evolution of the decision-making process... is modeled by entanglement measures"•Proposes a "predictive entangled QBN (PEQBN)" that models how behavioral states become correlated through social interactions•Uses quantum-like witness and concurrence entanglement measure to capture social dependencies
Relevance to User's Paragraph 2:
This paper directly addresses quantum entanglement in behavioral modeling and how behavioral states of different individuals become correlated through social interactions, creating complex dependencies in networks.
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3. Quantum interference effects in behavioral modeling can represent how different social influences can reinforce or cancel each other out, creating complex patterns of behavioral change that depend on the timing and combination of different influences .[1150]
Source 3: arXiv/Journal of Mathematical Psychology (2007/2009)Title: "The importance of probability interference in social science: rationale and experiment"
Authors: Andrei Khrennikov, Emmanuel Haven
Journal: Journal of Mathematical Psychology, Volume 53, Pages 378-388 (2009)
arXiv: arXiv:0709.2802 [physics.gen-ph]
Submitted: 18 Sep 2007
URL: https://arxiv.org/abs/0709.2802
Key Findings:•States that "Probability interference is a fundamental characteristic of quantum mechanics"•Attempts to show "where this fundamental trait of quantum physics can be found back in a social science environment"•Proposes that interference effects can be found in many macroscopic areas including social behavior•Sets up experimental tests to demonstrate interference effects in social contexts
Relevance to User's Paragraph 3:
This paper directly addresses quantum interference effects in social science contexts and how different influences can create complex patterns, which aligns with the concept of social influences reinforcing or canceling each other out.
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Additional Foundational Sources
Source 4: Trends in Cognitive Sciences (2015)Title: "Quantum cognition: a new theoretical approach to psychology"
Authors: Peter D. Bruza, Zheng Wang, Jerome R. Busemeyer
Journal: Trends in Cognitive Sciences, Volume 19, Issue 7, 2015
URL: https://www.sciencedirect.com/science/article/pii/S1364661315000996
Citations: 346
Key Findings:•Compares classical versus quantum probabilistic models for human cognition•Addresses "cognitive phenomena that have proven recalcitrant to modeling by means of classical probability theory"•Highlights advantages of quantum models in addressing uncertainty and decision-making under conflict
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Source 5: Springer Quantum Interaction (2009)Title: "Classical logical versus quantum conceptual thought: Examples in economics, decision theory and concept theory"
Authors: Diederik Aerts, Bart D'Hooghe
Journal: International Symposium on Quantum Interaction, 2009
URL: https://link.springer.com/chapter/10.1007/978-3-642-00834-4_12
Citations: 90
Key Findings:•Explores quantum conceptual thought and its deviations from classical logical thought•Provides examples in economics, decision theory, and concept theories•Demonstrates how quantum models can capture non-classical reasoning patterns
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Source 6: Foundations of Science (2021)Title: "Modeling human decision-making: An overview of the Brussels quantum approach"
Authors: Diederik Aerts, Massimiliano Sassoli de Bianchi, Sandro Sozzo, Tomas Veloz
Journal: Foundations of Science, 2021
URL: https://link.springer.com/article/10.1007/s10699-018-9559-x
Citations: 28Key Findings:•Presents fundamentals of quantum theoretical approach to cognitive phenomena•Addresses cognitive phenomena that "resisted modeling by means of classical" approaches•Develops comprehensive framework for quantum decision-making models
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