scholarly journals FUZZY RECURRENT MAPPINGS IN MULTIAGENT SIMULATION OF POPULATION DYNAMICS SYSTEMS

2020 ◽  
pp. 290-297 ◽  
Author(s):  
Dmytro Chumachenko ◽  
Oleksandr Sokolov ◽  
Sergiy Yakovlev
Keyword(s):  
Population Dynamics ◽  
Fuzzy Sets ◽  
Cyber Security ◽  
Fuzzy Model ◽  
Computer Worms ◽  
Multiagent Simulation ◽  
New Methods ◽  
Multi Agent ◽  
Parameter Values ◽  
Unified Description

The article deals with the problems of analyzing multi-agent models of population dynamics. The problems studied are caused by a number of uncertainties associated with variables, boundary conditions, initial states, parameter values, etc. Given problems could be found in tasks associated with cyber security of critical infrastructures (e.g. DDoS attacks, computer worms, etc.). To solve this problem, a linguistic fuzzy model has been developed, which allows describing systems of population dynamics in a more realistic way. Population dynamics is described by a set of rules, each of which involves entry and exit in the form of fuzzy sets or fuzzy functions, which are applied iteratively. The complexity of describing the processes of population dynamics systems, the presence of fuzzification and defuzzification algorithms, and the use of fuzzy sets and linguistic variables make it necessary to develop new methods for analyzing such systems. The approaches proposed in the article to the study of systems of population dynamics make it possible to apply a unified description of processes of different nature in the form of a production set of rules.

New methods to realize the cluster consensus for multi‐agent networks

2019 ◽  
Vol 22 (6) ◽  
pp. 2549-2557
Author(s):  
Xing Guo ◽  
Jinling Liang ◽  
Habib M. Fardoun
Keyword(s):  
New Methods ◽  
Multi Agent ◽  
Cluster Consensus ◽  
Agent Networks

Optimization Methods for Calculating Design Imprecision

1995 ◽  
Author(s):  
William S. Law ◽  
Erik K. Antonsson
Keyword(s):  
Fuzzy Sets ◽  
Design Process ◽  
Optimization Methods ◽  
Experiment Design ◽  
Design Evaluation ◽  
Preliminary Design ◽  
New Methods ◽  
Evaluation Functions ◽  
Incomplete Design ◽  
Alternative Designs

Abstract The preliminary design process is characterized by imprecision: the vagueness of an incomplete design description. The Method of Imprecision uses the mathematics of fuzzy sets to explicitly represent and manipulate imprecise preliminary design information, enabling the designer to explore the space of alternative designs in the context of the designer and customer’s preferences among alternatives. This paper introduces new methods to perform Method of Imprecision calculations for general non-monotonic design evaluation functions that address the practical necessity to minimize the number of function evaluations. These methods utilize optimization and experiment design.

scholarly journals ASSESSMENT MODEL OF COMMODITY-MATERIAL STOCKS SUPPLIER APPEAL OF LOGISTICS COMPANIES

2019 ◽  
Vol 2019 (3) ◽  
pp. 78-85
Author(s):  
Алексей Зёрнышкин ◽  
Aleksey Zernyshkin ◽  
Александр Сизов ◽  
Aleksandr Sizov ◽  
Вячеслав Добрица ◽  
...  
Keyword(s):  
Fuzzy Sets ◽  
System Approach ◽  
Model Development ◽  
Fuzzy Model ◽  
Overwhelming Majority ◽  
Assessment Model ◽  
System Operation ◽  
Logistics Strategy ◽  
Efficient Control ◽  
Theory Of Fuzzy Sets

The work is devoted to the consideration of the approach to effectiveness increase in socialeconomic system operation through the fuzzy model development for the supplier choice of commoditymaterial stocks in logistic companies. The problem urgency is conditioned on the system approach absence in the overwhelming majority of companies to the formation of procurement logistics strategy which makes difficulties in the process rapid management and charges efficient control. The theory of fuzzy sets is a methodological ba-sis of the work. The model developed has a practical value for the leadership of logistics companies.

Cyber Security Model of Artificial Social System Man-Machine

2015 ◽  
pp. 500-514
Author(s):  
Calin Ciufudean
Keyword(s):  
Cyber Security ◽  
Social System ◽  
Social Systems ◽  
Discrete Event ◽  
Shared Environment ◽  
Security Model ◽  
Automatic Data ◽  
Optimum Trajectory ◽  
Multi Agent ◽  
And Control

Cyber Security Model of Artificial Social System Man-Machine takes advantage of an important chapter of artificial intelligence, discrete event systems applied for modelling and simulation of control, logistic supply, chart positioning, and optimum trajectory planning of artificial social systems. “An artificial social system is a set of restrictions on agents` behaviours in a multi-agent environment. Its role is to allow agents to coexist in a shared environment and pursue their respective goals in the presence of other agents” (Moses & Tennenholtz, n.d.). Despite conventional approaches, Cyber Security Model of Artificial Social System Man-Machine is not guided by rigid control algorithms but by flexible, event-adaptable ones that makes them more lively and available. All these allow a new design of artificial social systems dotted with intelligence, autonomous decision-making capabilities, and self-diagnosing properties. Heuristics techniques, data mining planning activities, scheduling algorithms, automatic data identification, processing, and control represent as many trumps for these new systems analyzing formalism. The authors challenge these frameworks to model and simulate the interaction of man-machine in order to have a better look at the human, social, and organizational privacy and information protection.

Using Extended Reality to Support Cyber Security

2020 ◽  
pp. 146-166
Keyword(s):  
Artificial Intelligence ◽  
Cyber Security ◽  
Game Design ◽  
Design Principles ◽  
Education And Training ◽  
Entertainment Industry ◽  
Security Threats ◽  
New Methods ◽  
Area Of Interest ◽  
And Training

Cyber security is a constantly evolving area of interest. Many solutions are currently available and new methods and technologies are emerging. Although some solutions already exist in extended reality, a lack of engagement and storytelling is available, with a consequence of decreasing the probability of dissemination and awareness of the risks involved in cybersecurity. This chapter gives an overview of an extended reality platform that can be potentially used for the simulation of security threats and that combines artificial intelligence and game design principles. The main goal of this research is to develop an extended reality solution to simulate a story involving virtual characters and objects for the entertainment industry, with possible applications in other sectors such as education and training. After an introduction to extended reality, the chapter focuses on an overview on the available extended reality technologies in the context of cybersecurity.

Output consensus for heterogeneous nonlinear multi-agent systems based on T-S fuzzy model

2016 ◽  
Vol 30 (5) ◽  
pp. 1042-1060 ◽  
Author(s):  
Xiaolei Li ◽  
Xiaoyuan Luo ◽  
Shaobao Li ◽  
Xinping Guan
Keyword(s):  
Fuzzy Model ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent
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