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Simulating Shopper Behavior using Fuzzy Logic in Shopping Center Simulation

Christian, Jason and Hansun, Seng (2016) Simulating Shopper Behavior using Fuzzy Logic in Shopping Center Simulation. Journal of ICT Research and Applications, 10 (3). ISSN 2337-5787

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To simulate real-world phenomena, a computer tool can be used to run a simulation and provide a detailed report. By using a computer-aided simulation tool, we can retrieve information relevant to the simulated subject in a relatively short time. This study is an extended and complete version of an initial research done by Christian and Hansun and presents a prototype of a multi-agent shopping center simulation tool along with a fuzzy logic algorithm implemented in the system. Shopping centers and all their components are represented in a simulated 3D environment. The simulation tool was created using the Unity3D engine to build the 3D environment and to run the simulation. To model and simulate the behavior of agents inside the simulation, a fuzzy logic algorithm that uses the agents’ basic knowledge as input was built to determine the agents’ behavior inside the system and to simulate human behaviors as realistically as possible.

Item Type: Article
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming
300 Social Sciences > 380 Commerce, communications and transportation > 381 Commerce (Trade, Incl. Branding, Marketing and Warehousing)
Divisions: Fakultas Teknik Informatika > Program Studi Informatika
Depositing User: mr admin umn
Date Deposited: 19 Oct 2021 06:57
Last Modified: 19 Oct 2021 06:57

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