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Results: 96
Number of items: 96
  • Open Access
    Baltag, A., & Smets, S. (2020). Learning what others know. In E. Albert, & L. Kovács (Eds.), LPAR-23: 23rd International Conference on Logic for Programming, Artificial Intelligence and Reasoning (pp. 90-119). (EPiC Series in Computing; Vol. 73). EasyChair. https://doi.org/10.29007/plm4
  • Open Access
    Baltag, A., & van Benthem, J. (2020). Some Thoughts on the Logic of Imprecise Observation. In X. Ying (Ed.), Xue bu fen dong xi: Qing hua da xue zhe xue xi jiao shi lun wen ji (pp. 329-364). Qing hua da xue chu ban she. https://eprints.illc.uva.nl/1660/1/2018.MarginError.pdf
  • Open Access
    Baltag, A., Özgün, A., & Vargas-Sandoval, A. L. (2020). The Logic of AGM Learning from Partial Observations. In L. Soares Barbosa, & A. Baltag (Eds.), Dynamic Logic : New Trends and Applications: Second International Workshop, DaLí 2019, Porto, Portugal, October 7–11, 2019 : proceedings (pp. 35-52). (Lecture Notes in Computer Science; Vol. 12005). Springer. https://doi.org/10.1007/978-3-030-38808-9_3
  • Open Access
    Vargas Sandoval, A. L. (2020). On the path to the truth: Logical & computational aspects of learning. [Thesis, fully internal, Universiteit van Amsterdam]. Institute for Logic, Language and Computation.
  • Baltag, A., Bezhanishvili, N., & Fernández González, S. (2019). The McKinsey-Tarski theorem for topological evidence logics. In R. Iemhoff, M. Moortgat, & R. de Queiroz (Eds.), Logic, Language, Information, and Computation: 26th International Workshop, WoLLIC 2019, Utrecht, The Netherlands, July 2-5, 2019 : proceedings (pp. 177-194). (Lecture Notes on Computer Science; Vol. 11541), (FoLLI Publications on Logic, Language and Information). Springer. https://doi.org/10.1007/978-3-662-59533-6_11
  • Achimescu, A., Baltag, A., & Sack, J. (2019). The Probabilistic Logic of Communication and Change. Journal of Logic and Computation, 29(7), 1015-1040. https://doi.org/10.1093/logcom/exv084
  • Baltag, A., Li, D., & Pedersen, M. Y. (2019). On the Right Path: A Modal Logic for Supervised Learning. In P. Blackburn, E. Lorini, & M. Guo (Eds.), Logic, Rationality, and Interaction: 7th International Workshop, LORI 2019, Chongqing, China, October 18–21, 2019 : proceedings (pp. 1-14). (Lecture Notes in Computer Science; Vol. 11813), (FoLLI Publications on Logic, Language and Information). Springer. https://doi.org/10.1007/978-3-662-60292-8_1
  • Open Access
    Baltag, A., Rad, S. R., & Smets, S. (2019). Learning Probabilities: Towards a Logic of Statistical Learning. Electronic Proceedings in Theoretical Computer Science, 297, 35-49. https://doi.org/10.4204/EPTCS.297.3
  • Open Access
    Baltag, A., Gierasimczuk, N., & Smets, S. (2019). Truth-Tracking by Belief Revision. Studia Logica, 107(5), 917–947. https://doi.org/10.1007/s11225-018-9812-x
  • Open Access
    Baltag, A., Bezhanishvili, N., Özgün, A., & Smets, S. (2019). A Topological Approach to Full Belief. Journal of Philosophical Logic, 48(2), 205-244. https://doi.org/10.1007/s10992-018-9463-4
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