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

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2017

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Springer

Zusammenfassung

Tweety 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.

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Thimm, Matthias (2017): The Tweety Library Collection for Logical Aspects of Artificial Intelligence and Knowledge Representation. KI - Künstliche Intelligenz: Vol. 31, No. 1. Springer. PISSN: 1610-1987. pp. 93-97

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