A comprehensive collection of Java libraries for logical aspects of artificial intelligence and knowledge representation
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TweetyProject is a collection of various Java libraries that implement approaches to different areas of artificial intelligence. In particular, it provides a general interface layer for doing research and working with different knowledge representation formalisms such as classical logics, conditional logics, probabilistic logics, and argumentation. Furthermore, TweetyProject 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.

For technical documentation of using the libraries please have a look at the online JavaDoc API.

All parts of the TweetyProject available on this website are licensed under the GNU Lesser General Public License version 3 (beginning with TweetyProject version 1.6, the versions before are licensed under the GNU General Public License version 3) except when this is noted otherwise. Use and modification of the libraries is encouraged but please give credit by referring to this website. Please note that some libraries make also use of other third-party libraries such as Apache Commons.

This website and TweetyProject are under constant development. In particular, a manual for using TweetyProject and usage examples are in preparation. Please come back frequently to check for updates.

Maven dependency for the complete collection:

If you are only interested in specific libraries please see the Libraries section for the individual dependencies. If you are not a Maven user you can also download JARs in the Downloads section.

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  • 2020/09/14: The slides of the tutorial Formal Argumentation Approaches in TweetyProject at SSA'20 are now available.
  • 2020/07/14: New release TweetyProject 1.17. Changelog:
    • New libraries:
      • net.sf.tweety.logics.bpm: business process modelling library (stub)
    • New functionalities:
      • added reasoner for bipolar argumentation (net.sf.tweety.arg.bipolar)
      • added reasoner for weak admissibility, naive semantics, stage2 semantics, cf2 semantics, scf2 semantics, scooc-naive semantics, qualified and semi-qualified sigma-semantics, and ordering semantics in abstract argumentation (net.sf.tweety.arg.dung)
      • added inconsistency measures for abstract argumentation (net.sf.tweety.arg.dung)
      • added learning capabilities for abstract argumentation (net.sf.tweety.arg.dung)
      • added further reasoner for ranking semantics in abstract argumentation (net.sf.tweety.arg.dung.rankings)
      • added functionalities to enumerate interpolants in propositional logic (
      • added iceberg inconsistency measure (
      • refactoring and extension of optimisation functionalities (net.sf.tweety.math)
      • refactoring and extension of abstract dialectical frameworks (net.sf.tweety.arg.adf)
    • Minor changes:
      • added XOR to various logics
      • added convenience methods for easier adding multiple formulas to belief bases
      • bugfixes in ASP (net.sf.tweety.lp.asp)

Last updated 14.07.2020, Matthias Thimm