Attributed probabilistic P systems and their application to the modelling of social interactions in primates

We propose a variant of probabilistic P Systems, Attributed Probabilistic P systems (APP systems), in which objects are annotated with attributes. We use APP systems for modelling social behaviours of some species of primates. In this context attributes can represent position of the animals in the environment, age of the animal, dominance level, aggressiveness, etc. As in standard P systems, the dynamics of the system is described by multiset rewrite rules that are applied in a maximally parallel way. Probabilities of rule application, in a maximal step, are computed according to weight functions associated to rules. As an application, we develop models to compare despotic and egalitarian behaviours on different species of primates.