Learning from Conditionals B Eva, S Hartmann, SR Rad Mind 129 (514), 461-508, 2020 | 34 | 2020 |
Probabilities with Gaps and Gluts D Klein, O Majer, SR Rad arXiv preprint arXiv:2003.07408, 2020 | 29 | 2020 |
Inference processes for quantified predicate knowledge JB Paris, SR Rad Logic, Language, Information and Computation: 15th International Workshop …, 2008 | 22 | 2008 |
Voting, deliberation and truth S Hartmann, S Rafiee Rad Synthese 195 (3), 1273-1293, 2018 | 20 | 2018 |
A note on the least informative model of a theory JB Paris, SR Rad Programs, Proofs, Processes: 6th Conference on Computability in Europe, CiE …, 2010 | 19 | 2010 |
Deliberation, Single-Peakedness, and Coherent Aggregation SR Rad, O Roy American Political Science Review 115 (2), 629-648, 2021 | 16 | 2021 |
Anchoring in deliberations S Hartmann, SR Rad Erkenntnis 85 (5), 1041-1069, 2020 | 15 | 2020 |
Equivocation Axiom on First Order Languages S Rafiee Rad Studia Logica 105 (1), 121-152, 2017 | 11 | 2017 |
Determining maximal entropy functions for objective Bayesian inductive logic J Landes, S Rafiee Rad, J Williamson Journal of Philosophical Logic 52 (2), 555-608, 2023 | 7 | 2023 |
Towards the entropy-limit conjecture J Landes, SR Rad, J Williamson Annals of Pure and Applied Logic 172 (2), 102870, 2021 | 7 | 2021 |
A Logical Analysis of Quantum Voting Protocols SR Rad, E Shirinkalam, S Smets International Journal of Theoretical Physics 56 (12), 3991-4003, 2017 | 7 | 2017 |
Inference Processes for on First Order Probabilistic Languages SR Rad PhD thesis, Manchester Institute for Mathematical Sciences, 2009. http://www …, 2009 | 7 | 2009 |
A Complete Axiomatisation for the Logic of Lattice Effect Algebras SR Rad, AH Sharafi, S Smets International Journal of Theoretical Physics, 1-14, 2019 | 6 | 2019 |
Learning conditionals S Hartmann, S Rafiee-Rad University of Munich manuscript, 2014 | 6 | 2014 |
Maximum Entropy Models for Σ1 Sentences SR Rad Journal of Applied Logics-IfCoLoG Journal of Logics and their Applications 5 …, 2018 | 5 | 2018 |
Updating on conditionals= Kullback-Leibler distance+ causal structure S Hartmann, S Rafiee Rad Biennial Meeting of the Philosophy of Science Association, San Diego, CA, 2012 | 5 | 2012 |
Probabilistic characterisation of models of first-order theories SR Rad Annals of Pure and Applied Logic 172 (1), 102875, 2021 | 4 | 2021 |
Updating on conditionals= Kullback–Leibler+ causal structure S Hartmann, SR Rad Unpublished MCMP working paper, München, 2012 | 4 | 2012 |
Learning indicative conditionals S Hartmann, SR Rad Unpublished manuscript, 1-28, 2017 | 3 | 2017 |
Tracking Probabilistic Truths: a logic for statistical learning A Baltag, SR Rad, S Smets | 3* | |