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arXiv:1606.07518cs.LO

On the Solvability of Inductive Problems: A Study in Epistemic Topology

Alexandru Baltag, Nina Gierasimczuk, Sonja Smets

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Abstract

We investigate the issues of inductive problem-solving and learning by doxastic agents. We provide topological characterizations of solvability and learnability, and we use them to prove that AGM-style belief revision is "universal", i.e., that every solvable problem is solvable by AGM conditioning.

arXiv comments
In Proceedings TARK 2015, arXiv:1606.07295
Journal reference
EPTCS 215, 2016, pp. 81-98
DOI
doi:10.4204/EPTCS.215.7
Subjects
cs.LOLogic in Computer Science cs.LGMachine Learning

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    • Had never encountered the field "epistemic topology" before. Highly non-trivial: On the Solvability of Inductive Problems: A Study in Epistemic Topology https://arxiv.org/abs/1606.07518

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