Argument-based critics and recommenders: A qualitative perspective on user support systems
Issue date
2006Author
Chesñevar, Carlos Iván
Maguitman, Ana Gabriela
Simari, Guillermo Ricardo
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In recent years we have witnessed the wide-spread evolution of support tools that operate in association with the user to
accomplish a range of computer-mediated tasks. Two examples of these tools are critics and recommenders. Critics are
cooperative tools that observe the user interacting with a
computer system and present reasoned opinions about a product
under development. Recommender systems are tools that assist users by facilitating access to relevant items. At the same
time, defeasible argumentation has evolved as a successful approach in AI to model commonsense qualitative reasoning,
with applications in many areas, such as agent theory, knowledge engineering and legal reasoning. This paper presents a
novel approach towards the integration of user support systems, such as critics and recommender systems, with a defeasible
argumentation framework. The final goal is to enhance practical reasoning capabilities of current user support tools
by incorporating argument-based qualitative inference.