Risk Agoras: Dialectical Argumentation for Scientific Reasoning
This work addresses the challenge of scientific reasoning for AI systems, but it appears incremental as it builds on existing argumentation methods without demonstrating broad impact.
The authors tackled the problem of enabling intelligent systems to reason about scientific domains, specifically chemical carcinogenicity, by proposing a formal framework grounded in dialectical argumentation, which allows for representation of scientific uncertainty and conflict for qualitative reasoning.
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.