Gutenberg Open Science: Comprehensible knowledge base extraction for learning agents : practical challenges and applications in games

Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-9303

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DC Field	Value	Language
dc.contributor.advisor	Kern-Isberner, Gabriele	-
dc.contributor.author	Apeldoorn, Daan	-
dc.date.accessioned	2023-11-06T10:57:43Z	-
dc.date.available	2023-11-06T10:57:43Z	-
dc.date.issued	2023	-
dc.identifier.uri	https://openscience.ub.uni-mainz.de/handle/20.500.12030/9321	-
dc.description.abstract	The need for artificial intelligence systems that are not only capable of mastering complicated tasks but also of explaining their decisions has massively gained attention over the last years. This also seems to offer opportunities for further interconnecting different approaches to artificial intelligence, such as machine learning and knowledge representation. This work considers the task of learning knowledge bases from agent behavior, with a focus on human-readability, comprehensibility and applications in games. In this context, it will be presented how knowledge can be organized and processed on multiple levels of abstraction, allowing for efficient reasoning and revision. It will be investigated how learning agents can benefit from incorporating the approaches into their learning processes. Examples and applications are provided, e.g., in the context of general video game playing. The most essential approaches are implemented in the InteKRator toolbox and show potential for being applied in other domains (e.g., in medical informatics).	en_GB
dc.language.iso	eng	de
dc.relation.ispartofseries	Wissenschaftliche Beiträge über künstliche Intelligenz ; 1	-
dc.rights	InCopyright	*
dc.rights.uri	http://rightsstatements.org/vocab/InC/1.0/	*
dc.subject.ddc	004 Informatik	de_DE
dc.subject.ddc	004 Data processing	en_GB
dc.title	Comprehensible knowledge base extraction for learning agents : practical challenges and applications in games	en_GB
dc.type	Monographie	de
dc.identifier.doi	http://doi.org/10.25358/openscience-9303	-
jgu.type.dinitype	book	en_GB
jgu.type.version	Published version	de
jgu.type.resource	Text	de
jgu.description.extent	194 Seiten	de
jgu.organisation.department	FB 04 Medizin	de
jgu.organisation.department	Externe Einrichtungen	de
jgu.organisation.number	2700	-
jgu.organisation.number	0000	-
jgu.organisation.name	Johannes Gutenberg-Universität Mainz	-
jgu.rights.accessrights	openAccess	-
jgu.publisher.year	2023	-
jgu.publisher.name	Verlag Mainz	de
jgu.publisher.place	Aachen	de
jgu.publisher.isbn	978-3-95886-490-0	de
jgu.notes.public	Zugl.: Dortmund, Univ., Diss.	de
jgu.organisation.place	Mainz	-
jgu.subject.ddccode	004	de
jgu.organisation.ror	https://ror.org/023b0x485	-
Appears in collections:	JGU-Publikationen

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