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Scalable Uncertainty Management [electronic resource] : 15th International Conference, SUM 2022, Paris, France, October 17-19, 2022, Proceedings / edited by Florence Dupin de Saint-Cyr, Meltem Öztürk-Escoffier, Nico Potyka.

Contributor(s): Dupin de Saint-Cyr, Florence [editor.] | Öztürk-Escoffier, Meltem [editor.] | Potyka, Nico [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 13562Publisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022.Description: XVII, 371 p. 37 illus., 19 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031188435.Subject(s): Artificial intelligence | Artificial IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
Tutorial 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. .
In: Springer Nature eBookSummary: This 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.
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Tutorial 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. .

This 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.

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