Risk Agoras: Dialectical Argumentation for Scientific Reasoning
Conference on Uncertainty in Artificial Intelligence (UAI), 2000
- AI4CE
Abstract
We propose a formal framework for intelligent systems which can reason about scientific domains, in particular about the carcinogenicity of chemicals, and we study its properties. Our framework is grounded in a philosophy of scientific enquiry and discourse, and uses a model of dialectical argumentation. The formalism enables representation of scientific uncertainty and conflict in a manner suitable for qualitative reasoning about the domain.
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