Font Size:
Modeling Multiagent Knowledge Systems Based on Implicit Culture
Last modified: 2012-07-16
Abstract
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 GPLKT through the usage of PLKT, language of
Propositional Logic paired with Knowledge operators and Temporal
operators. This way, the authors would like to give implementation
guidelines based on the foundations implicit culture based multiagent
systems as put forward earlier.
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 GPLKT through the usage of PLKT, language of
Propositional Logic paired with Knowledge operators and Temporal
operators. This way, the authors would like to give implementation
guidelines based on the foundations implicit culture based multiagent
systems as put forward earlier.