Engineering an agent-based system for product pricing automation

This paper describes an autonomous agent conceived for automating the decision making process for pricing products. Product pricing involves the interaction of decision makers with different - possibly conflicting - points of view. Our approach allows for applying individual pricing policies to each product by taking into account different points of view expressed through different arguments and the dynamic environment of the application. This is done through the use of argumentation technology. The agent development process using the Agent Systems Engineering Methodology (ASEME) is also presented.