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This article is cited in 1 scientific paper (total in 1 paper)
Selection of specialists in the organization of collective solving problems
S. B. Rumovskaya Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Abstract:
The study of small groups (collectives, teams), their characteristics, problems, dynamics, and features of selection of specialists stands at the intersection of psychology of personnel management and social psychology. A special place in a wide range of areas of modern science is occupied by modeling the interaction of people in small collectives of specialists, in particular, within the framework of a multiagent approach. At the same time, when developing intelligent systems (artificial heterogeneous collectives) to solve practical problems, it is now required to combine in the system the models of specialists (agents) with incompatible goals and domain models. These agents are created by different development teams. The selection of specialists in natural and models of specialists in artificial heterogeneous teams is an important task, the results of which influence the further decision-making process. The paper presents an analysis of methods and approaches to the selection of specialists and the acquisition of small groups (collectives, teams) whose measuring tools should be exposed to quality assessment.
Keywords:
group, small collective of specialists, team, methods of selecting specialists and forming small groups, teambuilding.
Received: 05.04.2023
Citation:
S. B. Rumovskaya, “Selection of specialists in the organization of collective solving problems”, Inform. Primen., 17:2 (2023), 96–103
Linking options:
https://www.mathnet.ru/eng/ia851 https://www.mathnet.ru/eng/ia/v17/i2/p96
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Abstract page: | 82 | Full-text PDF : | 60 | References: | 21 |
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