arXiv · 2407.21164
Extending choice assessments to choice functions: An algorithm for computing the natural extension
Abstract
We study how to infer new choices from prior choices using the framework of choice functions, a unifying mathematical framework for decision-making based on sets of preference orders. In particular, we define the natural (most conservative) extension of a given choice assessment to a coherent choice function -- whenever possible -- and use this natural extension to make new choices. We provide a practical algorithm for computing this natural extension and various ways to improve scalability. Finally, we test these algorithms for different types of choice assessments.
Explore related subjects
Keep this discovery
Arne Decadt, Alexander Erreygers, Jasper De Bock. 2024-07-30. Extending choice assessments to choice functions: An algorithm for computing the natural extension. https://arxiv.org/abs/2407.21164
Cite the original work for its findings. Save a collection to share your selection of sources.