the problem to achieveĬo-ordinated behaviour without a centralised regulation or the problem to choose a proper action from a large number Individuals instead of having to develop a more-or-less plausible 'mean-field' model of societies.ġ.2 On the opposite shore, namely in the field of computer science, theĪim to construct multi-agent systems poses difficulties typically found in human societies, e.g. Standard techniques of simulation is the opportunity to model the individual and the local interaction of the An inherent advantage of individual- (i.e. Qualitative properties of social systems makes it possible to ascribe the high complexity of such systems to the co. Kinds of meme propagation and their effects on the establishment ofĪgent-based Simulation Artificial Societies Memetics Social Norms Socialġ.1 From the social science point of view, the simulation ofįundamental properties of social systems may be helpful to construct and improve theories. Sanctions provides a good possibility to enforce the norm as long as Thus, the need for a possession norm arises. Term disadvantages for agents respecting the possessions of others. Possession claims of others are respected. Probability for the survival of the population is much higher when Of the agents regarding the land claims of others. (1996) and give the agents the possibility Simulations we extend the sugarscape model from Epstein and Axtell Modelled using memes as carriers for certain behaviours. Of memes as put forward by Richard Dawkins. We link the study of norms and the concept In this paper we study the emergence and the effects of a possession To cite articles published in the Journal of Artificial Societies and Social Simulation, please reference the above information and include paragraph numbers if necessary Journal of Artificial Societies and Social Simulation Felix Flentge, Daniel Polani and Thomas Uthmann: Modelling the Emergence of Possession Norms using Memes

Pour some sugar on may memes