17. – 22. September 2017, Dagstuhl Seminar 17381

Recent Trends in Knowledge Compilation


Adnan Darwiche (UCLA, US)
Pierre Marquis (Artois University – Lens, FR)
Dan Suciu (University of Washington – Seattle, US)
Stefan Szeider (TU Wien, AT)

Auskunft zu diesem Dagstuhl Seminar erteilt

Dagstuhl Service Team


Gemeinsame Dokumente
Programm des Dagstuhl Seminars [pdf]


Knowledge compilation (KC) is a research topic which aims to investigate the possibility of circumventing the computational intractability of hard tasks, by preprocessing part of the available information, common to a number of instances. Pioneered almost three decades ago, KC is nowadays a very active research field, transversal to several areas within computer science. Among others, KC intersects knowledge representation, constraint satisfaction, algorithms, complexity theory, machine learning, and databases.

The results obtained so far take various forms, from theory (compilability settings, definition of target languages for KC, complexity results, succinctness results, etc.) to more practical results (development and evaluation of compilers and other preprocessors, applications to diagnosis, planning, automatic configuration, etc.). Recently, KC has been positioned as providing a systematic method for solving problems beyond NP, and also found applications in machine learning.

The goal of this Dagstuhl Seminar is to advance both aspects of KC, and to pave the way for a fruitful cross-fertilization between the topics, from theory to practice. We target a mixture of long and short presentations, with discussions. Given the variety of aspects in knowledge compilation and the diversity of techniques used, some long talks with a tutorial flavor will be included in the program. We plan also to organize a demo session. We feel that the following topics are currently of particular importance, and we would like to focus on them in Dagstuhl:

  • Knowledge Compilation and Parameterized Complexity
  • Knowledge Compilation Maps
  • Probabilistic Database Theory
  • Building Knowledge Compilers
  • Formats, Benchmarks, Empirical Protocols

  Creative Commons BY 3.0 DE
  Adnan Darwiche, Pierre Marquis, Dan Suciu, and Stefan Szeider


  • Artificial Intelligence / Robotics
  • Data Bases / Information Retrieval
  • Data Structures / Algorithms / Complexity


  • Knowledge compilation
  • Constraints
  • Preprocessing
  • Probabilistic databases
  • Model counting


Bücher der Teilnehmer 

Buchausstellung im Erdgeschoss der Bibliothek

(nur in der Veranstaltungswoche).


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