Lexicographic choice functions

July 10, 2017 Β· Declared Dead Β· πŸ› International Journal of Approximate Reasoning

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Authors Arthur Van Camp, Gert de Cooman, Enrique Miranda arXiv ID 1707.03069 Category cs.AI: Artificial Intelligence Citations 15 Venue International Journal of Approximate Reasoning Last Checked 4 months ago
Abstract
We investigate a generalisation of the coherent choice functions considered by Seidenfeld et al. (2010), by sticking to the convexity axiom but imposing no Archimedeanity condition. We define our choice functions on vector spaces of options, which allows us to incorporate as special cases both Seidenfeld et al.'s (2010) choice functions on horse lotteries and sets of desirable gambles (Quaeghebeur, 2014), and to investigate their connections. We show that choice functions based on sets of desirable options (gambles) satisfy Seidenfeld's convexity axiom only for very particular types of sets of desirable options, which are in a one-to-one relationship with the lexicographic probabilities. We call them lexicographic choice functions. Finally, we prove that these choice functions can be used to determine the most conservative convex choice function associated with a given binary relation.
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