Copyright © 2005 Elsevier B.V. All rights reserved.
Argument-based critics and recommenders: A qualitative perspective on user support systems
Received 25 April 2005;
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Abstract
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.
Keywords: User support systems; Decision support systems; Recommender systems; Critics; Defeasible argumentation; Practical reasoning
Article Outline
- 1. Introduction and motivations
- 2. User support systems
- 2.1. Critics
- 2.2. Recommenders
- 3. Modelling argumentation in DeLP
- 4. Enhancing user support system with defeasible argumentation
- 5. An argument-based Web recommender
- 6. An argument-based word processing critic
- 7. Implementation issues. Ongoing work
- 8. Related work
- 9. Conclusions
- Acknowledgements
- References
- Vitae






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