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Majority merging by adaptive counting.

G. Primiero, и J. Meheus. Synthese, 165 (2): 203-223 (2008)

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A logic of efficient and optimal designs.G. Primiero. J. Log. Comput., 29 (6): 947-968 (2019)Information and Knowledge, A Constructive Type-theoretical ApproachG. Primiero. Logic, Epistemology, and the Unity of Science Springer, (2008)Majority merging by adaptive counting.G. Primiero, и J. Meheus. Synthese, 165 (2): 203-223 (2008)An approach to early evaluation of informational privacy requirements.B. Barn, G. Primiero, и R. Barn. SAC, стр. 1370-1375. ACM, (2015)Effects of misinformation diffusion during a pandemic.L. Prandi, и G. Primiero. Appl. Netw. Sci., 5 (1): 82 (2020)Modelling Accuracy and Trustworthiness of Explaining Agents.A. Termine, G. Primiero, и F. D'Asaro. LORI, том 13039 из Lecture Notes in Computer Science, стр. 232-245. Springer, (2021)Reasoning With Bias.C. Manganini, и G. Primiero. AEQUITAS@ECAI, том 3523 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)Two Kinds of Procedural Semantics for Privative Modification.G. Primiero, и B. Jespersen. JSAI-isAI Workshops, том 6284 из Lecture Notes in Computer Science, стр. 252-271. Springer, (2009)A Depth-Bounded Semantics for Becoming Informed.M. Larotonda, и G. Primiero. SEFM Workshops, том 13765 из Lecture Notes in Computer Science, стр. 366-382. Springer, (2022)Introducing k-lingo: a k-depth Bounded Version of ASP System Clingo.F. D'Asaro, P. Baldi, и G. Primiero. KR, стр. 661-664. (2021)