Model analysis of the social aspects of intrapersonal conflict
Abstract
Model analysis of the social aspects of intrapersonal conflict
Incoming article date: 25.09.2017In the paper there are examined intrapersonal conflicts associated with the mandatory selection of one option from two, equal their relative attractiveness. To study the effect of social environment we combined two models. The first was the previously developed model based on the theory of Bayesian model intrapersonal conflict one subject. Second was the model the spread of the epidemic presented in the base package of the agent-based modeling AnyLogic. In the numerical experiments it is studied as a manifestation on the intrapersonal level, social aspects of the environment, and Vice versa, the impact of these conflicts on the society. Found that the level of this impact strongly depends on the social value of objects of choice. If this objects important only for the individual, the near social neighbours can only shift the final probability of selection and to reduce the resolution time of the problem. The opposite effect is small. If the conflict causing problem is socially significant both for the subject and its environment, the picture changes dramatically. An association of individuals with the same choice as the conflict and the formation of clusters of two types are started with the development of the conflict in the study community. There is growth of these clusters and their absorption of each other. It was studied several scenarios final solution to the problem, such as the transformation of intrapersonal conflict in intergroup one and confrontation of the formed sub-groups, or complete absorption of one type of cluster other with the winning one of the variant. The obtained results point to the need for the study of social conflicts to pay attention to intrapersonal and the possibility of escalating into intergroup.
Keywords: conflict, intrapersonal, social environment, simulation, fluctuations of the appeal, a multi-agent approach, probability assessment, Bayesian theory, clustering of individuals, inter-group conflict