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This paper presents a novel fuzzy-logic-based extension of Answer Set Programming (ASP) that integrates numerical information with qualitative reasoning using membership functions, demonstrated through a travel recommendation case study.
This paper examines Ray Kurzweil's thesis of accelerating returns and argues that while quantitative capabilities may accelerate, genuine scientific discovery requires a different capacity: qualitative reasoning about conceptual frameworks. It proposes the Qualitative Engine for Science (QES) as a response to this gap.