Scientific journal
Scientific Review. Technical science
ISSN 2500-0799
ПИ №ФС77-57440

MULTI AGENT SIMULATION AND SCHEDULING OF LOGISTIC

Aksyonov K.A. 1 Nevolina A.L. 1 Aksyonova O.P. 1 Smoliy E.F. 1
1 Ural Federal University named after First President of Russia B.N. Yeltsin
In this work was described trends of evolution multi agent intelligent scheduling, decision support systems and simulation systems for task of logistic scheduling. The comparison of two perspective approaches of intelligent scheduling (the Needs-and-Means Networks and the model of multi agent resources conversion process) and related information technologies (MAGENTA and BPsim) was described. Despite active application of conceptual modeling tools based on UML language in the area of information systems development, application of such tools in simulation modeling engineering is limited. An advantage of conceptual and simulation modeling integration approach is the capability of rapid transition from conceptual models to the models of engineering and application (program implementation). To define a transition from conceptual models to simulation models one may use ontologies or knowledge representation models.