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From Resolving Inconsistencies in Qualitative Constraints Networks to Identifying Robust Solutions : A Universal Encoding in ASP
Bayerkuhnlein, Moritz; Schwartz, Tobias; Wolter, Diedrich (2024): From Resolving Inconsistencies in Qualitative Constraints Networks to Identifying Robust Solutions : A Universal Encoding in ASP, in: Andreas Hotho, Sebastian Rudolph, Andreas Hotho, u. a. (Hrsg.), KI 2024: Advances in Artificial Intelligence : 47th German Conference on AI Würzburg, Germany, September 25–27, 2024 ; Proceedings, Cham, Switzerland: Springer, S. 3–16, doi: 10.1007/978-3-031-70893-0_1.
Faculty/Chair:
Title of the compilation:
KI 2024: Advances in Artificial Intelligence : 47th German Conference on AI Würzburg, Germany, September 25–27, 2024 ; Proceedings
Editors:
Hotho, Andreas
Rudolph, Sebastian
Conference:
47th German Conference on AI, September 25-27, 2024 ; Würzburg, Germany
Publisher Information:
Year of publication:
2024
Pages:
ISBN:
978-3-031-70893-0
978-3-031-70892-3
Series ; Volume:
Lecture Notes in Computer Science
Lecture Notes in Artificial Intelligence ; 14992
Language:
English
Type:
Conferenceobject
Activation date:
December 15, 2025
Permalink
https://fis.uni-bamberg.de/handle/uniba/112192