AGENT-ORIENTED MODEL OF PROFESSIONAL EXPERTISE AND DECISION MAKING ON INDIVIDUAL PUBLIC SIGNIFICANT INITIATIVES SUPPORT
Authored by George B Kleiner, Maxim A Rybachuk, V Dmitry Ushakov
Date Published: 2019
DOI: 10.23683/2073-6606-2019-172-23-39
Sponsors:
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Platforms:
NetLogo
Model Documentation:
Other Narrative
Flow charts
Model Code URLs:
Model code not found
Abstract
Researches support by competitive funding mechanisms realized through
scientific foundations is a common global practice. At the same time,
decisions on support or refusal of a scientific project financing are
made because of results of a multistage examination, which is a primary
part of the competitive funding system and is conducted by the
scientific community itself (peer review). It is important to take into
account that the decisions of each expert in a situation of choice are
influenced by his individual economic and psychological characteristics.
Usually, these characteristics are neglected, but in our opinion, they
should not be underestimated. This article presents an agent-based model
of professional expertise and decision-making on financial support for
research projects by scientific foundations, considering the economic
and psychological characteristics of agents-experts and the reputational
consequences of their decisions. The model takes into account such
individual economic and psychological characteristics of scientists as
``individualism - collectivism{''}, ``satisfaction - dissatisfaction{''}
and others. The quality of projects, the qualifications of scientists,
their propensity for subjectivity and objectivity in the process of
project evaluation, depending on the economic and psychological
characteristics are also considered. Feedbacks in the model are
implemented by changing the reputation of scientists, depending on the
degree of objectivity of projects evaluations including by comparing the
reputation of the researcher with the average reputation of his
immediate surrounding. Conclusions about changes in the structure of
researcher's groups within the scientific community are made on the
basis of changes in the reputation of scientists, depending on their
belonging to the class of dependent (pursuing the interests of
individual groups and communities) or the class of independent
(conducting a fair evaluation of research projects). Recommendations for
the further development of the model and for using it to predict the
outcomes of local situations in autonomous socio-economic systems are
formulated.
Tags
Agent-based modeling
NetLogo
peer review
Science
Economic and psychological characteristics
Competitive financing of research projects
Individuality
of an expert
Reputation of an expert