Key words
simulation, artificial intelligence, actor-network theory, agent-based modeling, bioinspired algorithms, fuzzylogic controller, super-fuzzy logic.
articles
Authors:
Bulygina O. V., Emelyanov A., Ross G. Published in
№ 6(78)
28 december 2018 year
Rubric: Actor modeling
Rubric: Actor modeling
Hybrid cyber-modeling in economics: actor-network theory, simulation, NON-factors and super fuzzy logic
Computer simulation is usually the launch of parallel interacting computational processes, similar to
real processes, but in virtual spaces and time. Such a model makes it possible to obtain the metrological
characteristics of a real process, a field study of which is either very expensive or impossible because
of the receiving irreplaceable damage risk. However, to create a model, sometimes there is no complete
set of source data to ensure a satisfactory significance level, and it is necessary to create a model under
conditions of uncertainty. In this case, along with programs that receive metrological characteristics as
source data, there is a need to include programs that implement artificial intelligence methods to obtain
new qualimetric characteristics in the model. In this direction is the development of modern software
for hybrid simulation modeling and related modern methods. According to the publications and author’s
experience, the most studied area of hybrid simulation modeling is the use of bioinspired algorithms.
The using of fuzzy controllers allows you to implement some adaptive methods necessary for simulation
models when searching for acceptable solutions and modes of the simulated processes operation,
for the sake of which these models are created to control. The most difficult area of hybrid simulation is
the use of super-fuzzy logic when conducting interval evaluations of membership functions in the same
simulation models that use fuzzy controllers. This direction requires additional experimental research,
literally «at the scientific interface» of metrology and qualimetry, using special modeling techniques.
The author:
Bulygina O. V.
Degree:
Cand. Sci. (Econ.), Associate Professor, department of Information Technology in Economics and Management, the Branch of National Research University MPEI in Smolensk
Location:
Smolensk
All articles:
Tools of organizational change management using swarm intelligence methods
Synergy and evolution of information systems in holding management
System analysis of risky project realization using special scales (for example
Simulation modeling and fuzzy logic in real-time decision-making of airport services
Assigning priorities in technological hubs using simulation and fuzzy logic
Complex simulation using genetic algorithms
Developing the economic information system for automated analysis of unstructured text documents
Hybrid cyber-modeling in economics: actor-network theory
The author:
All articles:
Simulation technology and model management in «Actor Pilgrim» system
«Safe Internet — is it really possible?» round table
Stochastic network queuing theory models
Becoming of computer and informational specialities in high schools of Russia
The ideologists of domestic developments in the field of the automated control systems
International Scientific Congress on Business Role in the Transformation of Russian Society
Choosing a Location for University Branch: Model and Logistic Analysis Approach
Scientific and technical information as a basis for innovation development
Software lag-generators for simulation of risk situations in Actor Pilgrim Simulation System
National Simulation Society: A Conversation with President Rafael Yusupov
The author:
Ross G.
Degree:
Dr. Sci. (Eng.), Professor, Chief Researcher, Scientific Laboratory of “Semantic Analysis and Integration”, Plekhanov Russian University of Economics
Location:
Moscow, Russia
All articles:
Agreement conclusion optimization and search for optimum rules of stopping
Hybrid cyber-modeling in economics: actor-network theory
NON-factors and super fuzzy logic
Developing the economic information system for automated analysis of unstructured text documents
Information technologies for forecasting the economic processes of financial bubbles control
Model of intelligent planning of robot behavior in a team of robots
Modeling the processes of social self-organization of intelligent agents
