Name
Sergeev Nikolai Evgenievich
Scholastic degree
•
Academic rank
associated professor
Honorary rank
—
Organization, job position
South Federal University
Web site url
—
Articles count: 3
Our research aims at providing new effective control
methods for scientific and technical expertise to
organizations and foundations that fund research
projects on a competitive basis. These methods should
provide analytical decision support for group decision
making in a distributed environment. In this work, we
consider an integral model for knowledge
representation – a socio-semantic knowledge network
that combines social links and a semantic description
of knowledge into a mathematically formalized graph
theoretic structure. In terms of actor-network theory,
we consider a multimodal network with actors on one
of the levels and artefacts (i.e. contexts that express
network links) on the other level. In order to represent
knowledge domain based on a graph and hypergraph
paradigm and fuzzy sets theory, we provide a
sufficiently complete set of elements and relations
(either trustworthy or partially trustworthy) both
between multitype elements and their heterogeneous
groups. The formal representation allows applying the
model to solve numerous practical tasks such as expert
finding, formation of expert groups, expertise
refinement, reduction of subjectivity, analysis of an
expertise process, analysis of processes within expert
groups. Research methodology: social network
analysis (SNA), theory of graphs and hypergraphs,
fuzzy calculus and fuzzy logic
This article provides results of studying the world
achievements in modeling social systems in the
aspects of personality, group, and social institute (e.g.
the state and army). Through prism of conflict, we
review research methodology for modeling social
identity, social navigation, geopolitical processes, and
command and control systems of the enemy. We
discuss four agent-based models of social identity:
SCIPR, MetaContrast, PS-I, and SILAS. We examine
Spence model for modeling social navigation. Basic
principles for modeling relations between the states
are considered using ontology approach. The
presented model allows systemic analysis of various
micro- (intrastate) and macrolevel (external) variables
and relations between them. Modeling command and
control system of the enemy is implemented as a part
of an automated decision support system that tackles
the problems of enemy structure identification as well
as classification of objects and relations within the
structures. The object of study are approaches,
methods and models for representation and analysis of
group interaction. The subject of study are processes
of agent self-identification and interaction, formal and
informal organizations, the states and public institutes
as well as processes and principles for group
formation and mechanisms for behavior control.
Research methodology: social network analysis,
ontology approach, theory of graphs and hypergraphs,
multiagent systems
The article considers problems of constructing a
temporal processor in the planning and management of
a multitude of objects using various temporal theories
of representing temporal factors of perception of the
external environment based on the phenomenon of
human memory