Abstract
To analyze the individual and collective behavior of agents, a “state–probability of choice” model is proposed, based on considering the probabilities of choosing alternatives and using the Markov chain of changes in these probabilities. Further development of the direction associated with modeling the description of the decision-making situation is proposed. It explicitly sets the probabilities of decision-making based on the “state–probability of choice” model, provided that these probabilities can change over time. The proposed structuring of the model based on decomposition implies the formation of clusters of states, which can be provided with meaningful interpretation. The authors consider a two-level system of states, in which the base states correspond to specific probabilities of decision-making, and the states of the second level correspond to groups of states. It is shown that decomposition significantly weakens the factor related to the arbitrariness of the choice of base states. An example is given in which several groups of states are clearly distinguished, among which special attention is paid to the behavior of staunch supporters of certain alternatives, as well as to agents who hesitate.
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Translated from Kibernetyka ta Systemnyi Analiz, No. 2, March–April, 2022, pp. 96–107.
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Ivokhin, E.V., Oletsky, O.V. Restructuring of the Model “State–Probability of Choice” Based on Products of Stochastic Rectangular Matrices. Cybern Syst Anal 58, 242–250 (2022). https://doi.org/10.1007/s10559-022-00456-z
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DOI: https://doi.org/10.1007/s10559-022-00456-z