Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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Employing virtual online sales assistants is one way to provide smart services to online customers during their online shopping experience, while visiting an online store. Virtual online sales assistants can resolve the absence of social experienced by visitors to the majority of online stores. Each customer’s online shopping behaviour is unique; therefore, the motivations that attract customers to shop electronically are also likely to be different. Employing a virtual online sales assistant can fulfil different needs for the online customers visiting the store. Many developed virtual online sales assistants have disappeared due to not meet the expectations of customers. Therefore, it would be helpful to develop artificial actors to test such an assistant to determine if they can serve online customers satisfactorily. This paper details a novel way to test such an assistant by using Agent-based modelling and simulation (ABMS), which is a powerful simulation tool to simulate autonomous and interactive entities. For our research, we developed four virtual online customer actors with different personalities; e.g. enthusiastic, apathetic, basic, and impatient virtual online customers. These actors then interacted with a representative virtual online sales assistant.
Ohud Almutairi. 2019. \u201cDeveloping Virtual Online Customers for Testing Virtual Online Sales Assistants\u201d. Global Journal of Management and Business Research - E: Marketing GJMBR-E Volume 19 (GJMBR Volume 19 Issue E4): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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Employing virtual online sales assistants is one way to provide smart services to online customers during their online shopping experience, while visiting an online store. Virtual online sales assistants can resolve the absence of social experienced by visitors to the majority of online stores. Each customer’s online shopping behaviour is unique; therefore, the motivations that attract customers to shop electronically are also likely to be different. Employing a virtual online sales assistant can fulfil different needs for the online customers visiting the store. Many developed virtual online sales assistants have disappeared due to not meet the expectations of customers. Therefore, it would be helpful to develop artificial actors to test such an assistant to determine if they can serve online customers satisfactorily. This paper details a novel way to test such an assistant by using Agent-based modelling and simulation (ABMS), which is a powerful simulation tool to simulate autonomous and interactive entities. For our research, we developed four virtual online customer actors with different personalities; e.g. enthusiastic, apathetic, basic, and impatient virtual online customers. These actors then interacted with a representative virtual online sales assistant.
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