Agent-Based Buyer-Trader Interaction Model of Traditional Markets

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Author(s)

Purba D. Kusuma 1,2,* Azhar Niaz 1 Reza Pulungan 1

1. Department of Computer Science and Electronics, Universitas Gadjah Mada, Yogyakarta, Indonesia

2. Department of Electrical Engineering, Telkom University, Bandung, Indonesia

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2016.11.01

Received: 10 Mar. 2016 / Revised: 18 Jun. 2016 / Accepted: 1 Sep. 2016 / Published: 8 Nov. 2016

Index Terms

Interaction model, negotiation, multi-agent system, traditional market

Abstract

One problem in simulating crowds in traditional markets is calculating the interaction duration between traders and buyers. This problem can be solved in a simple way by doing field observation to obtain some samples to find the average interaction duration between traders and buyers. This method is simple. On the other hand, the result will be less valid if the parameters are change. The purpose of this research is to develop an interaction model between traders and buyers by looking deeper into the negotiation process. This model is developed based on multi-agent system. Output of this model is the interaction duration. This model has been implemented in a traditional market crowd simulation. Based on the simulation, by adjusting the parameters in this model, the interaction duration by the model matches the real condition in traditional markets.

Cite This Paper

Purba D. Kusuma, Azhari, Reza Pulungan, "Agent-Based Buyer-Trader Interaction Model of Traditional Markets", International Journal of Intelligent Systems and Applications (IJISA), Vol.8, No.11, pp.1-8, 2016. DOI:10.5815/ijisa.2016.11.01

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