FORMALIZED MODEL OF ATTITUDE FORMATION AS A TOOL FOR ANALYZING BEHAVIORAL PATTERNS

The article presents a model of attitude formation that enables the analysis of individual behavioral patterns in complex social systems. The proposed model is based on dynamic systems and considers the balance between rationality and the utility of decision-making. The concept of a harmony index is introduced, describing the interaction between internal and external factors, along with a rationality function, which determines the degree of alignment between decisions and an individual’s cognitive predispositions. Special attention is given to the influence of the informational environment on the decision-making process, modeled through an entropy-based approach to analyzing informational noise and manipulations. A mathematical description of attitude adaptation is provided, and a logistic model of attitude change under the influence of external factors is proposed. The study has practical significance for predicting social group behavior, assessing the stability of social systems, and investigating the mechanisms of informational influence. Keywords: dynamic systems, behavior dynamics, harmony index, rationality function, utility function.