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Learning to act: qualitative learning of deterministic action models

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Publication:4612408
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DOI10.1093/logcom/exx036zbMath1444.68177DBLPjournals/logcom/BolanderG18OpenAlexW2792607992WikidataQ57813431 ScholiaQ57813431MaRDI QIDQ4612408

Nina Gierasimczuk, Thomas Bolander

Publication date: 31 January 2019

Published in: Journal of Logic and Computation (Search for Journal in Brave)

Full work available at URL: https://orbit.dtu.dk/en/publications/af04b771-a992-4edf-bbef-a043519e17fc


zbMATH Keywords

computational complexitydynamic epistemic logicformal learning theoryaction typesaction model learning


Mathematics Subject Classification ID

Computational learning theory (68Q32) Analysis of algorithms and problem complexity (68Q25) Logic in artificial intelligence (68T27) Logics of knowledge and belief (including belief change) (03B42)


Related Items (3)

A Comprehensive Framework for Learning Declarative Action Models ⋮ To be announced ⋮ Truth-tracking by belief revision







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