Forecasting macro parameters representing the behavior of an applied multi-agent system

Autor:	Lev S. Kuravsky, S. I. Popkov
Rok vydání:	2018
Předmět:	symbols.namesake Mathematical optimization Computer science Modeling and Simulation Multi-agent system symbols Markov process Probabilistic forecasting Group control Macro Computer Science Applications
Zdroj:	International Journal of Modeling, Simulation, and Scientific Computing. :1850052
ISSN:	1793-9615 1793-9623
DOI:	10.1142/s1793962318500526
Popis:	Under consideration is the method of probabilistic forecasting of macro parameters representing general patterns of an applied multi-agent system behavior. This system introduces the game interaction between a set of agents and a target. The behavior dynamics of such a system is described by a discrete-state discrete-time Markov random process and represented in the terms, which are considered convenient for interpretation and practical control of macro parameters. The corresponding calculations are based on common characteristics of the initial conditions. The probabilistic model of behavior of the system is generalized for the case of the mobile target and supplemented with formulas for the dynamical calculation of probabilistic distributions of the target’s defeat by the agents as well as the agent’s defeat by the target.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ad834a82b0f907bf5af057d31f325c8f https://doi.org/10.1142/s1793962318500526 Zobrazit plný text záznamu