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Automated Reasoning for Conflict Solving in Knowledge Graphs

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dc.contributor.authorFähndrich, Johannes
dc.contributor.authorWischow, Maik
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorGergeleit, Martin
dc.contributor.editorMartin, Ludger
dc.date.accessioned2024-10-21T18:24:24Z
dc.date.available2024-10-21T18:24:24Z
dc.date.issued2024
dc.description.abstractForensic application of Methods of AI depends on the level of trust towards automated reasoning. Automated reasoning leads necessarily to conflicts, and with that to the need for adaptation. Knowledge Graphs are an existential part of formalization in complex systems, e.g. as representation of beliefs of an AI. Strong AI, and with that one of the two main research areas of the early 21st century in Computer Science, struggles with the representation of conflicting beliefs, as well as with strategies for their resolution. We present a template based approach with an implementation on detecting and resolving conflicts in belief systems leading to a deeper insight into AI and its ability of self reflection. Without the understanding of how beliefs are handled in strong AI systems, the application to forensics is hurdled.en
dc.identifier.doi10.18420/inf2024_24
dc.identifier.isbn978-3-88579-746-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45182
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-352
dc.subjectStrong AI
dc.subjectReasoning
dc.subjectConflict Resolution
dc.subjectMachine Learning
dc.subjectKnowledge Graph
dc.subjectBelief System
dc.titleAutomated Reasoning for Conflict Solving in Knowledge Graphsen
dc.typeText/Conference Paper
gi.citation.endPage353
gi.citation.publisherPlaceBonn
gi.citation.startPage343
gi.conference.date24.-26. September 2024
gi.conference.locationWiesbaden
gi.conference.sessiontitle4. International Workshop on Digital Forensics (IWDF4)

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