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. 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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  • 31.01.2023: New release TweetyProject 1.23. Changelog:
    • New libraries: none
    • New functionalities:
      • Added FPGrowth algorithm for frequent pattern mining (org.tweetyproject.machinelearning)
      • Added basic functionalities for reinforcement learning such as MDPs, policy evaluation, policy iteration, and value iteration algorithms (org.tweetyproject.machinelearning)
      • Added algorithm for learning AFs from labelings (org.tweetyproject.arg.dung)
      • Added command line interface for inconsistency measures (
      • Added probabilistic evidential argumentation frameworks (org.tweetyproject.arg.bipolar)
      • Added support for ICCMA23 abstract argumentation solvers (org.tweetyproject.arg.dung)
      • Added vacuous reduct semantics for abstract argumentation (org.tweetyproject.arg.dung)
      • Added serialisable ranking reasoner (org.tweetyproject.arg.ranking)
      • Added inconsistency measure based on prime implicants (
    • Minor changes:
      • Fixed JavaDoc
  • 25.07.2022: New release TweetyProject 1.22. Changelog:
    • New libraries:
      • org.tweetyproject.comparator: library for various comparators such as partial orders
    • New functionalities:
      • Added extension ranking semantics (org.tweetyproject.arg.dung)
      • Added reasoner for serialisable semantics (org.tweetyproject.arg.dung)
      • Added support for incomplete argumentation frameworks (org.tweetyproject.arg.dung)
      • Added KWT generator for abstract argumentation frameworks (org.tweetyproject.arg.dung)
    • Minor changes:
      • Encoding optimsations for SAT-based argumentation solvers (org.tweetyproject.arg.dung)
      • Bugfix web interface (note that is usable again)

Last updated 30.01.2023, Matthias Thimm