حسینی، سیدهادی؛ دارایش، شادی و میرزایی، ناصر (1403). طراحی مدل تصمیمگیری کوانتومی در مدیریت استراتژیک: رویکردی برای مقابله با عدمقطعیتهای سازمانی. مدیریت استراتژیک هوشمند. 3 (1). 95-110.
عزیزی، سیدمهدی (1402). چارچوب همافزایی دانشهای فرایندساز تصمیمگیری در تصمیمات حکومتی. اندیشه مدیریت راهبردی. 17 (2). 75-102.
گودرزی، غلامرضا (1386). نظریۀ تصویر و تصمیم راهبردی. اندیشه مدیریت راهبردی. 1 (1). 93-109.
هادیزاده، مرتضی؛ سلامزاده، آیدین؛ انصاری، منوچهر؛ محمدحسینی، بابک و براگا، ویتور (1404). سیاستگذاری کوانتومی: سناریوپردازی در بستر عدمقطعیتها و تلاطمهای محیطی کسبوکار. پژوهشهای برنامه و توسعه. 22 (6). 77-115.
Aerts, D., Broekaert, J., Gabora, L., & Sozzo, S. (2016). Editorial: Quantum structures in cognitive and social science. Frontiers in Psychology. 2016 (7). 577.
https://doi.org/10.3389/fpsyg.2016.00577
Asano, M., Ohya, M., Tanaka, Y., Basieva, I., & Khrennikov, A. (2012). Quantum-like model of brain’s functioning: Decision making from decoherence. Journal of Mathematical Psychology. 55 (3). 166–175.
https://doi.org/10.1016/j.jmp.2011.01.003
Axelrod, R. (1997). Advancing the art of simulation in the social sciences. In Simulating social phenomena. Berlin, Heidelberg: Springer Berlin Heidelberg.
Azizi, M. (2023). Synergy framework of decision-making process knowledge in governmental decisions. Strategic Management Thought. 17 (2). 75-102. (in Persian)
Bagarello, F., Basieva, I., & Khrennikov, A. (2017). Quantum field inspired model of decision making in cognition. Frontiers in Psychology. 8(1). 159-168.
Basieva, I., Khrennikov, A., & Ozawa, M. (2020). Quantum-like modeling in biology with open quantum systems. BioSystems. 191 (1). 1-15.
Bovino, F. A., & Comi, A. (2022). Demonstration of Cognitive Bias on a Noisy Intermediate-Scale Quantum Processor. In EPJ Web of Conferences. 266 (1). 9002.
Broekaert, J., Basieva, I., Blasiak, P., & Pothos, E. (2017). Quantum-like dynamics applied to cognition: A consideration of available options. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 375 (2106). 1-30.
https://doi.org/10.1098/rsta.2016.0387
Busemeyer, J. R., & Bruza, P. D. (2012). Quantum models of cognition and decision. Cambridge University Press.
Busemeyer, J. R., Kvam, P. D., & Pleskac, T. J. (2020). Comparison of Markov versus quantum dynamical models of human decision making. Wiley Interdisciplinary Reviews: Cognitive Science. 11 (6). 1-19.
https://doi.org/10.1002/wcs.1526
Busemeyer, J. R., Matthew, M., & Wang, Z. (2006). Quantum game theory explanation of disjunction effect. In Proc. 28th Annual Conf. of the Cognitive Science Society (pp. 131-135). Mahwah: Erlbaum.
Busemeyer, J. R., Wang, Z., & Townsend, J. T. (2009). Empirical comparison of Markov and quantum models of decision making. Journal of Mathematical Psychology. 53 (5). 423–433.
https://doi.org/10.1016/j.jmp.2009.03.002
Busemeyer, J. R., Zhang, Q., Balakrishnan, S., & Wang, Z. (2020). Application of quantum–Markov open system models to human cognition and decision. Entropy. 22 (9). 990.
https://doi.org/10.3390/e22090990
Chen, M., Ferro, G. M., & Sornette, D. (2022). On the use of discrete-time quantum walks in decision theory. PLoS ONE. 17 (9). 1-32.
Connors, B., & Rende, R. (2018). Embodied decision-making style: Below and beyond cognition. Frontiers in Psychology. 2018(9). 1-10.
Conte, E. (2009). A brief note on time evolution of quantum wave function and cognition. Mind and Matter. 7 (2). 145–163.
Demidont, S. (2025). Quantum coherence preservation in Fibonacci-structured decision oscillations. Physica Scripta. 100 (3). 1-22.
Dimov, C. M., Khader, P., Marewski, J. N., & Pachur, T. (2019). How to model the neurocognitive dynamics of decision making: A methodological primer with ACT-R. Behavior Research Methods. 52 (3). 857–880.
Edwards, D. J. (2025). Further N-frame networking dynamics of conscious observer-self agents via a functional contextual interface: Predictive coding. quantum Bayesianism, and decision-making fallacy modeling. Frontiers in Computational Neuroscience. 2025 (19). 1-53.
Ellmore, T., Dominey, P. F., & Magnotti, J. (2016). Editorial: The temporal dynamics of cognitive processing. Frontiers in Psychology. 7 (1). 930.
Fox, J., Cooper, R., & Glasspool, D. (2012). A canonical theory of dynamic decision-making. Frontiers in Psychology. 2013 (4). 1-19.
Foxall, G. (2014). Cognitive requirements of competing neuro-behavioral decision systems: Some implications of temporal horizon for managerial behavior in organizations. Frontiers in Human Neuroscience. 2014 (8). 1-17.
Gonzalez, C. (2022). Learning and dynamic decision making. Topics in Cognitive Science. 14 (1). 14-30.
Goudarzi, G. (2007). Image Theory and Strategic Decision. Strategic Management Thought. 1 (1). 93-109. (in Persian)
Hadizadeh, M., Salamzadeh, A., Ansari, M., Mohammadhosseini, B., & Braga, V. (2025). Quantum policymaking: Scenario planning under uncertainty and turbulence in the business environment. Planning and Development Studies. 22 (6). 77–115. (in Persian)
Hamid, M., & Braun, H. A. (2017). Attractor neural states: A brain-inspired complementary mechanism for decision making. Frontiers in Neuroscience. 11 (1). 385-392.
Hardy, N. F., Liu, H., & Levine, D. S. (2012). Neurohydrodynamics as a heuristic mechanism for decision making and cognition. Neural Networks. 27 (1). 104-121.
Harris, A., & Hutcherson, C. A. (2022). Temporal dynamics of decision making: A synthesis of computational and neurophysiological approaches. Wiley Interdisciplinary Reviews: Cognitive Science. 13 (3). 1-20.
He, J., & Jiang, X. (2017). An evidential Markov decision-making model. Knowledge-Based Systems. 122 (1). 115–126.
Ho, J. K. W., & Hoorn, J. (2022). Quantum affective processes for multidimensional decision-making. Scientific Reports. 12 (1). 1-25.
Hoseini, S. H., Darayesh, S., & Mirzaei, N. (2024). Designing a quantum decision-making model in strategic management: An approach to addressing organizational uncertainties. Intelligent Strategic Management. 1 (3). 95–110. (in Persian)
Ivancevic, V. G., & Aidman, E. V. (2007). Life-space foam: A medium for motivational and cognitive dynamics. Physica A: Statistical Mechanics and Its Applications. 382 (2). 616–630.
Khrennikov, A. (2007). A model of quantum-like decision-making with applications to psychology and cognitive science. arXiv preprint arXiv:0711.1366.
Khrennikov, A. (2010). Ubiquitous quantum structure. Springer.
Khrennikov, A. (2020). Quantum-like modeling of cognition, decision making, and rationality. Entropy. 22 (3). 303.
https://doi.org/10.3390/e22030303
Khrennikov, A. (2021). Quantum-like cognition and rationality: Biological and artificial intelligence systems. Entropy. 23 (5). 559.
https://doi.org/10.3390/e23050559
Khrennikov, A. (2023). Open systems, quantum probability, and logic for quantum-like modeling in biology, cognition, and decision-making. Entropy. 25 (6). 886.
Khrennikov, A., Basieva, I., Pothos, E. M., & Yamato, I. (2018). Quantum probability in decision making from quantum information representation of neuronal states. Scientific Reports. 2018 (8). 1-8.
https://doi.org/10.1038/s41598-018-34585-3
Kozma, R., Aghazarian, H., Huntsberger, T., Tunstel, E., & Freeman, W. (2007). Computational aspects of cognition and consciousness in intelligent devices. IEEE Computational Intelligence Magazine. 2 (2). 53-64.
Kropat, E., Türkay, M., & Weber, G. W. (2020). Introduction to the special issue on fuzzy analytics and dynamic modeling. Central European Journal of Operations Research. 28 (1). 1-4.
Luhmann, C. (2009). Temporal decision-making: Insights from cognitive neuroscience. Frontiers in Behavioral Neuroscience. 3 (1). 1-9.
Ma, W. J., & Yu, A. J. (2015). Statistical learning and adaptive decision making. Neuron. 86 (2). 353-368.
Marbach, P. (1998). Simulation-based methods for Markov decision processes. Ph.D. dissertation, Massachusetts Institute of Technology.
Martínez-Martínez, I., & Sánchez-Burillo, E. (2016). Quantum stochastic walks on networks for decision-making. Scientific Reports. 6 (1). 1-13.
Mattei, T. (2014). Unveiling complexity: Non-linear and fractal analysis in neuroscience and cognitive psychology. Frontiers in Computational Neuroscience. 8 (1). 1-2.
Meghdadi, A., Akbarzadeh-T, M. R., & Javidan, K. (2022). A quantum-like cognitive approach to modeling human biased selection behavior. Scientific Reports. 12 (1). 1-10.
Moreira, C., & Wichert, A. (2016). Quantum probabilistic models revisited: The case of disjunction effects in cognition. Frontiers in Physics. 26 (4). 1-19.
Moroz, O., & Lunov, V. (2025). Metacognition as a regulator of thinking and decision-making in complex cognitive contexts. Perspektyvy ta innovatsii nauky. 5 (51). 1698–1712.
Mureika, J. R. (2006). Implications for cognitive quantum computation and decision dynamics. NeuroQuantology. 4 (3). 201–210.
Njegovanović, A. (2020). Approach to financial decision making within quantum physics and neurosciences. International Journal of Law and Public Administration. 3 (2). 1–9.
Pala, K., & Shalu, S. (2025). A quantum paradigm in conscious experience and cognitive process. Journal of Physics: Conference Series. 2948 (1). 1-25.
Pasupuleti, M. K. (2025). Quantum cognition: Modeling decision-making with quantum theory.
Puterman, M.L. (1994). Markov Decision Processes: Discrete Stochastic Dynamic Programming. John Wiley & Sons Ltd., New York.
Rabinovich, M. I., Huerta, R., Varona, P., & Afraimovich, V. S. (2008). Transient cognitive dynamics, metastability, and decision making. PLoS Computational Biology. 4 (5). e1000072.
https://doi.org/10.1371/journal.pcbi.1000072
Rosendahl, M., & Cohen, J. D. (2021). A discrete formulation of two-alternative forced choice decision making. Journal of Mathematical Psychology. 103 (1). 1-50.
https://doi.org/10.1016/j.jmp.2021.102568
Rosendahl, M., Bizyaeva, A., & Cohen, J. D. (2020). A novel quantum approach to the dynamics of decision making. Frontiers in Psychology. 42 (1). 2187-2193.
https://doi.org/10.3389/fpsyg.2020.01572
Roy, S. (2014). Decision-making, human cognition, and equanimity of mind. Yoga Mimamsa. 46 (1). 25–28.
Roy, S. (2016). Decision-making and modelling in cognitive science. Springer India.
Sanfey, A. (2007). Decision neuroscience. Current Directions in Psychological Science. 16 (3). 151–155.
Schwartz-Shea, P., & Yanow, D. (2013). Interpretive research design: Concepts and processes. Routledge.
Tanaka, Y., Umegaki, K., Nishiyama, Y., & Kitoh-Nishioka, H. (2022). Dynamical free energy-based model for quantum decision processes with decoherence. Entropy. 24 (5). 667.
Trueblood, J. S., Yearsley, J. M., & Pothos, E. M. (2017). A quantum probability framework for human probabilistic inference. Journal of Experimental Psychology: General. 146 (9). 1307.
Turkpencce, D., Akinci, T. C., & Seker, H. (2018). Decoherence in a quantum neural network model. Cognitive Systems Research. 50 (1). 77–86.
Uprety, S. (2020). Investigation and Modelling of Quantum-like User Cognitive Behaviour in Information Access and Retrieval. Open University (United Kingdom).
Wang, S., Chen, W., Liu, Y., & Wu, X. L. (2021). Research on the decision mechanism of university-enterprise collaborative innovation based on quantum cognition. Complexity. 2021 (1). 1-10.
Widdows, D., Rani, J., & Pothos, E. (2023). Quantum circuit components for cognitive decision-making. Entropy. 25 (4). 548.
Wu, Q., Yang, X., Wang, K., Zhu, M., Liang, J., & Han, Y. (2024). “PyTDL”: A versatile temporal difference learning algorithm to simulate behavior process of decision making and cognitive learning. iScience. 28 (1). 1-14.
Xin, Q., Sun, Y., Zheng, H., Zhang, J., & Li, Y. (2022). A more realistic Markov process model for explaining the evolution of decision preferences. Cognitive Systems Research. 72 (1). 10–23.
Yan, H., & Wang, J. (2022). Beyond the circuit architecture: attractor dynamics reveals the mechanism of improved performance in decision-making and working memory.
Yan, H., & Wang, J. (2025). Neural mechanisms balancing accuracy and flexibility in working memory and decision tasks. NPJ Systems Biology and Applications. 11 (1). 7.
Yukalov, V., Yukalova, E. P., & Sornette, D. (2017). Information processing by networks of quantum decision makers. Physica A: Statistical Mechanics and its Applications. 482 (1). 362–386.
Zhang, X., Liu, L., Long, G., Jiang, J., & Liu, S. (2020). Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task. Neural Networks. 134 (1). 1–10.