Multi-agent systems in modeling the development of self-organizing work groups. Part 1: development of a system of criteria

Self-organizing work groups are a type of innovative system. The management of the development of self-organizing work groups in decentralized organizational systems within modern organizations is often insufficiently effective due to the inability to account for the individual goals and capabilities of participants. This practical issue is, among other things, a consequence of the imperfection of existing methods and algorithms for managing the development of self-organizing work groups in decentralized organizational systems — the approaches they offer for considering individual goals and capabilities of employees do not allow for forecasting the development outcomes of such groups and managing this process with the level of efficiency required by modern organizations. To develop methods and algorithms for managing the development of self-organizing work groups in decentralized organizational systems that support decision-making based on individual goals and capabilities, it is necessary to use tools designed for managing groups of heterogeneous agents — for example, multi-agent systems. However, the descriptive capabilities of such tools may be insufficient for modeling self-organizing work groups and their development in decentralized organizational systems. While multi-agent systems are used for modeling organizational systems, their applicability for modeling decentralized organizational systems — taking into account the specific properties of such systems — remains poorly studied, and tools based on this approach are not widely used. The aim of this work is to investigate the applicability of multi-agent systems for modeling self-organizing work groups and their development in decentralized organizational systems. The possibilities for applying multi-agent systems for this purpose are defined based on an analysis of the requirements for modeling tools that stem from the characteristics of self-organizing work groups in decentralized organizational systems, and on the capabilities provided by multi-agent systems. This work identifies criteria for evaluating the suitability of a tool for modeling the development of self-organizing work groups in decentralized organizational systems. This article is the first in a series of studies whose results make it possible to model organizational systems while taking into account the cyclic interrelationship of their elements, and can be used in the modeling of innovative systems.

Keywords: decentralized organizational systems, self-organizing work groups, multi-agent systems, organic structure of an organizational system, complex organizational systems, simulation of organizational systems.

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