Abstract
The use of virtual agents to intelligently interface with online customers of e-commerce businesses is remarkably increasing. Most of these virtual agents are designed to assist online customers while searching for information related to a specific product or service, while few agents are intended for promoting and selling a product or a service. Within the later type, our aim is to provide proactive agents that recommend a specific item and justify this recommendation to a customer based on his purchases history and his needs. In this paper, we propose a dialectical argumentation approach that would allow virtual agents that have sales goals to trigger persuasions with e-commerce’s customers. Then, we illustrate the proposed idea through its integration with an example from real-life.
Categories and Subject Descriptors
I.2.11 [Artificial Intelligence:] Intelligent Agents.
General Terms: Algorithms.
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Morge, M., Abdel-Naby, S., Beaufils, B. (2011). Towards a Dialectical Approach for Conversational Agents in Selling Situations. In: McBurney, P., Rahwan, I., Parsons, S. (eds) Argumentation in Multi-Agent Systems. ArgMAS 2010. Lecture Notes in Computer Science(), vol 6614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21940-5_9
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DOI: https://doi.org/10.1007/978-3-642-21940-5_9
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