期刊
INFORMATION SCIENCES
卷 521, 期 -, 页码 380-397出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2020.02.054
关键词
Agent-based modelling; Customer behaviours; Purchase intention; Stores' simulation
资金
- competitiveness cluster PICOM
- French Ministry of Industry
- region Hauts-de-France
Simulating human activities remains a challenging problem because the decision-making mechanisms underlying these activities are difficult to reproduce and mimic. In this article, we are interested in the simulation of in-store shoppers whose activities are generally divided into two parts: a walking activity and a purchase activity. Since the act of buying is more complex than simply following a shopping list, we propose here to model the attraction relationships that can exist between a product and a customer. This attraction model is used to build a multi-agent simulation whose realism is evaluated through various experiments. (C) 2020 Elsevier Inc. All rights reserved.
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