In our age, Memetic Communication has become the quickest tool of information dissemination, as being the only communication form reflecting authenticity by telling words to each other i.e. the Word-of-Mouth (WOM). Here we examine how messages are transferred from one mind to the other through human communication, instead of a central, outer manipulation or forcing people for a way of thinking.

In the course of spreading the memes, numerous factors are to be considered: such as the reproducing capability, copying fidelity, simplicity, repetition, survival, decoding ability, immunity, universality, etc. The spreading of memes can be compared to that of viruses or genes. If we want to use memetics for obtaining our aims or we want to know the information spreading independent from us, by a memetic way having a counter-interest, or we want to influence it corresponding to our purposes, similarly to many other areas, the most efficient approach is the simulation modelling.

By the application of it, the testing of several different strategic effects becomes possible, before making a decision, that can mean significant sparing of costs, because the effects can be studied on the simulation models preceding the selection of the optimal solution and the real system implementation.

In the course of the project we have elaborated a simulation methodology and tools system, by the help of which the information flow of memetics can very efficiently be carried out by simulation.

The theoretical basis of the tool system is set up by the Petri Nets, and within them the high level, so called Knowledge-Attributed Petri Nets, that can adequately describe the communication system of the memes. A simulation software system has been elaborated that is based on the implementation of the theoretical method as well as on other tools assuring artificial intelligence, appropriate for the efficient realisation of the examinations.

Related materials


  • Jávor, A.: Simulation of Memetics by means of Knowledge Attributed Petri Nets Summer Computer Simulation Conference (SCSC’08), Edinburgh, U.K. June 16-18, 2008, 487-493.