Modeling Multiagent Knowledge Systems based on Implicit Culture

Since there are many ways in which one could establish a multiagent knowledge-based system, some of the most popular ways should be evaluated and presented in an end-user-friendly form. One such assumption is based on the phenomenon of implicit culture, where agents interact with each other. Such a system has been developed, but has some room for improvements, so as to be easier to understand, easier to implement and comprehend. Thus the main aim of this paper is to define the agents cooperating in a multiagent knowledge-based system, using GPLKTF through the usage of PLKFT, language of propositional logic (PL) paired with knowledge (K), temporal (T) and forgetfulness (F) operators. This way, the authors would like to give implementation guidelines based on the foundations implicit culture based multiagent systems as put forward earlier.