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
Full text not available from this repository.Abstract
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: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 19 Oct 2021 06:57 |
| Last Modified: | 19 Oct 2021 06:57 |
| URI: | https://kc.umn.ac.id/id/eprint/18863 |
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