Design of Intelligent Agents Based System for Commodity Market Simulation with JADE

TL;DR

This paper presents a multi-agent system using JADE to simulate a potato commodity market with farmers, middlemen, and industries, employing fuzzy logic for decision-making and generating financial and market predictions.

Contribution

It introduces a novel multi-agent simulation framework incorporating fuzzy logic for realistic decision modeling in commodity markets.

Findings

Simulated market produces detailed financial and commodity data.

System successfully predicts future market values.

Agents' behaviors align with real-world market dynamics.

Abstract

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.