Article ID Journal Published Year Pages File Type
379793 Electronic Commerce Research and Applications 2014 11 Pages PDF
Abstract

•Merchants and customers are provided by software agents, managing their profiles, to consider their competencies in the performed B2C activities.•The underlying CBB model provides MAST with a useful starting point and guideline to identify and suitably weight the events composing a B2C process.•Software agents use the XML to: manage agent profiles and messages; represent categories and instances; realize communications in ACML language.•An Ontology model, used as a common agent language, allows to give a unique representation of products and categories belonging to various cataloges.•An e-payment protocol, called AIPP (Agent Internet Payment Protocol), based on existing financial institutions, fully compliant with the standard FAST framework, it is used together with single-use account identifiers in order to perform safe and trusted payments.•A “yellow page” service is available for all the agents.

In this paper we present an XML-based multi-agent system, called Multi Agent System for Traders (MAST), that supports several Business-to-Customer e-Commerce activities, including advertisements and payments. MAST helps both customers and merchants in performing their tasks by using a personalized approach. MAST’s e-payment model avoids exchanging sensitive information, reinforcing trust between merchants and customers. A complete prototype of MAST has been implemented under the JADE framework, and it has been exploited for realizing some experiments, in order to evaluate its performances.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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