Readings in qualitative reasoning about physical systems

By Daniel S. Weld, J. Kleer. 1990

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Citations in the corpus

QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions (2019, background): “…rapid progress in general question-answering (QA), e.g., (Clark and Gardner, 2018), and formal models for qualitative reasoning (QR), e.g., (Forbus, 1984; Weld and De Kleer, 2013), there has been little work on reasoning with textual qualitative knowledge, and no dataset available in this area.”
QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships (2018, methodology): “For the target formalism itself, we draw on the extensive body of work on qualitative reasoning (Forbus 1984; Weld and De Kleer 2013; Kuipers 1994) to create a logical form language that can express the required qualitative knowledge, yet is sufﬁciently constrained that parsing into it is feasible,…”
WIQA: A dataset for “What if...” reasoning over procedural text (2019, methodology): “Predicting the e ﬀ ects of qualitative change has been studied in the qualitative reasoning (QR) community, but primarily using formal models (Forbus, 1984; Weld and De Kleer, 2013).”
Qualitative Spatial Representation and Reasoning: An Overview (2001, unknown): “Qualitative Reasoning is concerned not only with capturing the everyday common-sense knowledge of the physical world, but also the myriad equations used by engineers and scientists to explain complex physical phenomenon while creating quantitative models [180].”
Mind Games: Game Engines as an Architecture for Intuitive Physics. (2017, background): “Mental models and mental simulation processes in intuitive physics have often been seen as qualitative in nature, with a mathematical basis that is fundamentally di ﬀ erent from scien-tiﬁc mechanics [5].”