Holistic Decision-Making in Stopping Problems: Emphasizing Psychological Aspects
Georgy Sofronov, Joanna Rymaszewska, Krzysztof J. Szajowski

TL;DR
This paper explores a holistic approach to stopping problems, integrating psychological factors, strategic interactions, and uncertainty to better understand decision-making processes.
Contribution
It introduces a novel theoretical framework combining psychological and strategic aspects in stopping game models for decision analysis.
Findings
Provides a theoretical basis for integrating psychological profiles into stopping decision models
Highlights the importance of considering deviations from rationality as diagnostic tools
Lays groundwork for future empirical studies on decision-making in stopping problems
Abstract
Our research is closely related to ontological studies in mathematics. It provides crucial insights into the nature of decisions and strategies characterized by Markov moments. In a stopping game, a holistic decision-maker would evaluate comprehensive information by assessing the probabilities of various outcomes and their associated payoffs. This involves understanding the current state, historical data, and potential future scenarios. Such a decision-maker must also consider strategic interactions by anticipating and accounting for the strategies of other players. They must be flexible in adapting their strategy as the game evolves and able to integrate uncertainty by incorporating risk preferences and tolerances. They would perform scenario analysis to evaluate the impact of different stopping times under varying conditions. The goal of this modeling and its implementation in…
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