Purchase intention-based agent for customer behaviours

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 walkin...

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Bibliographic Details
Published in:Information sciences 2020-06, Vol.521, p.380-397
Main Authors: Doniec, Arnaud, Lecoeuche, Stéphane, Mandiau, René, Sylvain, Antoine
Format: Article
Language:English
Subjects:
Agent-based modelling
Artificial Intelligence
Computer Science
Customer behaviours
Multiagent Systems
Purchase intention
Stores’ simulation
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Summary: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.
ISSN:0020-0255
1872-6291
DOI:10.1016/j.ins.2020.02.054