LEADER 03035nam 22005415 450 001 9910617303603321 005 20251225200652.0 010 $a9783031188435 010 $a3031188438 024 7 $a10.1007/978-3-031-18843-5 035 $a(MiAaPQ)EBC7113434 035 $a(Au-PeEL)EBL7113434 035 $a(CKB)25161603300041 035 $a(PPN)265855640 035 $a(BIP)86004501 035 $a(BIP)85653637 035 $a(DE-He213)978-3-031-18843-5 035 $a(EXLCZ)9925161603300041 100 $a20221014d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aScalable Uncertainty Management $e15th International Conference, SUM 2022, Paris, France, October 17?19, 2022, Proceedings /$fedited by Florence Dupin de Saint-Cyr, Meltem Öztürk-Escoffier, Nico Potyka 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (374 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13562 311 08$aPrint version: Dupin de Saint-Cyr, Florence Scalable Uncertainty Management Cham : Springer International Publishing AG,c2022 9783031188428 327 $aTutorial Articles -- Full Papers: Non-classical Reasoning -- Full Papers: Inconsistency -- Full Papers: Decision Making and Social Choice -- Full Papers: Learning -- Full Papers: Explanation -- Short Papers: Non-classical Reasoning -- Short Papers: Explanation. . 330 $aThis book constitutes the refereed proceedings of the 15th International Conference on Scalable Uncertainty Management, SUM 2022, which was held in Paris, France, in October 2022. The 19 full and 4 short papers presented in this volume were carefully reviewed and selected from 25 submissions. Besides that, the book also contains 3 abstracts of invited talks and 2 tutorial papers. The conference aims to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as artificial intelligence and machine learning, databases, information retrieval and data mining, the semantic web and risk analysis. The chapter "Defining and Enforcing Descriptive Accuracy in Explanations: the Case of Probabilistic Classifiers" is licensed under the terms of the Creative Commons Attribution 4.0 International License. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13562 606 $aArtificial intelligence 606 $aArtificial Intelligence 615 0$aArtificial intelligence. 615 14$aArtificial Intelligence. 676 $a003.54 700 $aDupin de Saint-Cyr$b Florence$01262714 702 $aO?ztu?rk-Escoffier$b Meltem 702 $aPotyka$b Nico 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910617303603321 996 $aScalable uncertainty management$93041563 997 $aUNINA