Modeling agent representations in an intelligent organization

  • Gennady P. Vinogradov, Research Institute CENTERPROGRAMSYSTEM (Tver, Russia)

Relevance. The joint work of intelligent agents within an organization makes it relevant to research on the development of methods for coordinating the perception of a situation of purposeful state, goals, interests, values, norms and the creation of common ideas about the situation of choice. The purpose of the work. Using the principle of parallel perception, we propose an approach and a model for coordinating perception and ideas about the choice situation. This ensures: a) expanding the range of approaches in shaping strategies and tactics for the evolution of the organizational system; b) early detection and understanding of trends and the formation of a coherent vision of the future; d) a basis for experimentation and anticipation of new ideas; e) building capacity for self-development; f) strengthening and developing the intellectual capital of the organization; h) a coherent view of the problems. The methods of the theory of fuzzy sets, the theory of active systems, the theory of fuzzy models and networks are used. The main results. The concept of a subjective view of a subject area is introduced. It is proposed to use a fuzzy product model to formalize the ideas. The paper describes the structure of representations and one of the options for its adaptation. The methods of evaluating the usefulness of the representation model and its formalization are considered. An approach based on the hypothesis of common goals and interests of the personnel (agents) of the system is proposed to describe the organization's learning model. The validity of this hypothesis follows from the obvious fact that in an organization, due to the division of labor, the result of each depends on the joint efforts of all. Consequently, the individual contributions of agents based on insight, intuition, knowledge, experience, and available information of a particular agent with differing values, norms, beliefs, goal structures, and abilities, when they come together to do some work, determine the future outcome.

model, intelligent agent, pattern, knowledge, adaptation

2025-12-01

Copyright (c) 2025 Information and mathematical technologies in science and management
Back