Extending the matrix vector transition net approach for modeling interaction

Abstract

This paper briefly explains the main problems with Petri nets for representing complexity. It introduces the Matrix Vector Transition Net, which is based on Petri net like semantics and explains how this executable structure is more expressive for certain classes of system modeling problems where inputs and outputs can be grouped into matrices or vectors. Some trivial examples are given to explain the salient points of the MVTN and how these can be combined with Petri nets in order to increase their modeling power. Some brief results are findings presented in this paper.