scholarly journals Behavioral modelling of subjects in legal cases-games with imperfect rationality

2021 ◽  
Vol 118 ◽  
pp. 01011
Author(s):  
Valentina Sergeevna Nikitina

Game theory, applied in various fields, including in law, studies conflict game models and searches for their formatted solutions, makes it possible to solve many tasks and problems, predict the behaviour of subjects in various situations, thereby explaining the behavior logic of the individuals in conflict of interests. However, human behavior is not always rational (reasonable), moreover, it can be difficult to predict which strategy the player will choose when making his move in the game. In this regard, it is advisable to consider rational behavior as an accepted and reasonable behavior of game participants and irrational behavior as deviant, unpredictable behavior of players, which relies on the internal regulation of a person (beliefs, intuition, creativity, feelings, emotions, etc.) and which studies one of the developing directions of game theory in modern science – evolutionary game theory. The study aims to determine the types of irrational behavior of players, which puts other players in a difficult position and precludes from determining each other’s optimal strategies for mutual benefit and stability, using the example of legal incidents modeling through games with imperfect rationality. The authors believe, that to achieve this goal using the methods of analysis and modeling, the imperfections of rationality can be considered and studied, the types of irrational behavior of players can be defined using the games with imperfect calculation of the game, imperfect information and changes in goals during the game (with a multipersonal representation of the game) and a complete absence of rationality.

2019 ◽  
Vol 2019 ◽  
pp. 1-17
Author(s):  
Zhu Bai ◽  
Mingxia Huang ◽  
Shuai Bian ◽  
Huandong Wu

The emergence of online car-hailing service provides an innovative approach to vehicle booking but has negatively influenced the taxi industry in China. This paper modeled taxi service mode choice based on evolutionary game theory (EGT). The modes included the dispatching and online car-hailing modes. We constructed an EGT framework, including determining the strategies and the payoff matrix. We introduced different behaviors, including taxi company management, driver operation, and passenger choice. This allowed us to model the impact of these behaviors on the evolving process of service mode choice. The results show that adjustments in taxi company, driver, and passenger behaviors impact the evolutionary path and convergence speed of our evolutionary game model. However, it also reveals that, regardless of adjustments, the stable states in the game model remain unchanged. The conclusion provides a basis for studying taxi system operation and management.


2019 ◽  
Vol 109 ◽  
pp. 00048
Author(s):  
Yevhen Lapshyn ◽  
Robert Molchanov ◽  
Borys Blyuss ◽  
Nataliia Osadcha

The conclusion has been made about the necessity to choose the optimal strategies for management by geotechnical systems, based on the analysis of geological faults, which are the main indicator of the mining and geological conditions that characterize the mineral deposits, as well as on the parameters for the infrastructure development of the underground space. The methodological peculiarity of solving the problems set is the use of game theory with modified criteria of Wald, maximax and Savage, since the manifestation of specific geological faults is probabilistic in nature. When choosing the optimal strategy, the average linear deviations of gains or risks are taken into account.


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