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(to be completed)

 


ThinkMind // INTELLI 2017, The Sixth International Conference on Intelligent Systems and Applications // View article intelli_2017_2_20_60061


Modeling of Complex Multiagent Behaviour Using Matrix Representation

Authors:
Sebastian Meszyński
Oleksandr Sokolov

Keywords: multiagent system; agent; linear algebra; matrix

Abstract:
Multi-agent systems are systems that solve complex problems by dividing them into smaller problems and imparting each of them to specialized programmes called agents. The reliability of such systems strongly depends on the correctness of agents’ communication and interaction. Unfortunately, the analysis of the whole system is not an easy task as its component parts, in the form of agents, work in asynchronous way. An additional problem causing the difficulty in this analysis is the fact that each agent is an autonomous being therefore, having received information from another agent existing in the same environment, it does not have to change its internal condition. In the following paper, matrix representation and equations, describing dynamics of multiagent system were implemented by using the basic elements of graph theory and theory of compartment modelling. The analysis of equations and examples, presented below, confirm the validity of the thesis that the adopted description is sufficient to describe the interactions between agents in multiagent system.

Pages: 32 to 37

Copyright: Copyright (c) IARIA, 2017

Publication date: July 23, 2017

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-576-0

Location: Nice, France

Dates: from July 23, 2017 to July 27, 2017

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