  A market of potato commodity for industry scale usage is engaging several
types of actors. They are farmers, middlemen, and industries. A multi-agent
system has been built to simulate these actors into agent entities, based on
manually given parameters within a simulation scenario file. Each type of
agents has its own fuzzy logic representing actual actors' knowledge, to be
used to interpreting values and take appropriated decision of it while on
simulation. The system will simulate market activities with programmed
behaviors then produce the results as spreadsheet and chart graph files. These
results consist of each agent's yearly finance and commodity data. The system
will also predict each of next value from these outputs.
