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The Tweety Library Collection for Logical Aspects of Artificial Intelligence and Knowledge Representation

dc.contributor.authorThimm, Matthias
dc.date.accessioned2018-01-08T08:12:55Z
dc.date.available2018-01-08T08:12:55Z
dc.date.issued2017
dc.description.abstractTweety is a collection of Java libraries that provides a general interface layer for doing research in and working with different knowledge representation formalisms such as classical logics, conditional logics, probabilistic logics, and computational argumentation. It is designed in such a way that tasks like representing and reasoning with knowledge bases inside the programming environment are realizable in a common manner. Furthermore, Tweety contains libraries for dealing with agents, multi-agent systems, and dialog systems for agents, as well as belief revision, preference reasoning, preference aggregation, and action languages. A series of utility libraries that deal with e. g. mathematical optimization complement the collection.
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11037
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 31, No. 1
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectKnowledge representation
dc.subjectLogic
dc.subjectReasoning
dc.titleThe Tweety Library Collection for Logical Aspects of Artificial Intelligence and Knowledge Representation
dc.typeText/Journal Article
gi.citation.endPage97
gi.citation.startPage93

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