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About this paper
Pierre Carbonnelle, Simon Vandevelde, Joost Vennekens, Marc Denecker
This paper presents IDP-Z3, a new reasoning engine built on the FO(·) knowledge representation language, to automatically construct interactive configurators from declarative knowledge bases. The system effectively supports complex industrial problems requiring non-linear arithmetic and interactive features, yielding practical benefits like reduced design time and improved knowledge retention in applications such as engineering component design and adhesive selection.
Key insights
- Distinguishing between user-controlled 'decision variables' and system-determined 'environmental variables' ensures safer exploration of the solution space in interactive configurators.
- Incremental propagation and retaining internal state of the reasoning engine are crucial for achieving responsive, sub-3-second feedback times in interactive applications.
- The integration of non-linear arithmetic over rationals within a declarative logic framework significantly expands the applicability of knowledge-based systems to engineering design problems.
Summary by alphaXiv.
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