A Proposal for Making Argumentation Computationally Capable of Handling Large Repositories of Uncertain Data

Authors:
Marcela Capobianco;Guillermo R. Simari
Affiliations:
Artificial Intelligence Research and Development Laboratory Department of Computer Science and Engineering, Universidad Nacional del Sur, Bahía Blanca, Argentina (8000);Artificial Intelligence Research and Development Laboratory Department of Computer Science and Engineering, Universidad Nacional del Sur, Bahía Blanca, Argentina (8000)
Venue:
SUM '09 Proceedings of the 3rd International Conference on Scalable Uncertainty Management
Year:
2009

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Abstract

Data intensive applications with the capability of handling uncertain, imprecise, and inconsistent information are in constant demand. Efficient computational systems that can perform complicated inferences, obtain the appropriate conclusions, and explain the results are increasingly being required to act upon large databases. Argumentation systems could be used in the construction of interactive systems that are able to reason with large databases and/or different data sources. Notwithstanding, there are two important issues that need to be resolved in order to use argumentation in this kind of practical applications: adding the ability to deal with explicit uncertainty, and improving the computational complexity of argumentation, which so far has been an obstacle for its integration into interactive systems acting on large databases. In this paper we propose an argumentation-based system that has been engineered to address these issues.