Constraint Handling Rules (CHR) is a concurrent committed-choice constraint logic programming language consisting of guarded rules that transform multi-sets of atomic formulas (constraints) until exhaustion. It was designed by Thom Fruehwirth in 1991. CHR can embed many rule-based formalisms and systems, and it can describe algorithms in a compact declarative way without compromising efficiency. The clean semantics of CHR ensures that several desirable properties hold for CHR programs and also facilitates sophisticated program analysis. Dozens of CHR libraries exist for programming languages such as
Prolog, Java and Haskell. So far, worldwide more than 200 academic and industrial projects use CHR and 2000 research publications
investigate CHR. There is a yearly workshop and a biannual summer school on CHR.
Constraint Handling Rules: Compilation, Execution, and Analysis.
Thom Frühwirth and Frank Raiser (editors).
ISBN 978-3-83-911591-6, BOD, 2011.
A Unified Analytical Foundation for Constraint Handling Rules,
PhD. Hariolf Betz,
A Devil's Advocate against Termination of Direct Recursion,
Thom Frühwirth, PPDP 2015.
Rule Transformation Tool available (use "Devil" options).
Why Can't You Behave? Non-Termination Analysis of Direct Recursive Rules with Constraints (Full Version),
Thom Frühwirth, RuleML 2016.
Extension of the Confluence Checker for CHR Programs, B.Sc. Daniel Bebber, 2015.
A Confluence and Operational Equivalence Checker for CHR Programs, (tool download), B.Sc. Frank Richter, 2014.
Eclipse Plugin for CHR, (tool download link), B.Sc. Matthias Rau, 2013.
Combining Forward and Backward Propagation, FroCoS 2015. (online tool), Amira Zaki, GUC (German University in Cairo), 2013.
Source-to-source transformation for rule-based approaches and extensions in CHR (book slides) (online tool, Amira Zaki), 2013.
CHRAnimation: An Animation Tool for Constraint Handling Rules, PhD. cand. Nada Sharif GUC, LOPSTR 2014.
Visualization of Grid-based and Fundamental CHR Algorithms, B.Sc. thesis Arwa Ismail GUC, 2012.
Animation of Mathematical and Graph-based Algorithms expressed in CHR, B.Sc. thesis Mostafa Ali Said GUC, 2012.
Translator from XML Schema to JSON Schema
From XML Schema to JSON Schema - Comparison and Translation with Constraint Handling Rules, (tool download link), B.Sc. Falco Nogatz, Uni Ulm, 2014.
Automatic Support for Proving Confluence Modulo Equivalence for Constraint Handling Rules
External project partner of Prof. Henning Christiansen, Roskilde University, Denmark,
This project will develop foundations and methods for automatic and semi-automatic proofs of a program property called Confluence Modulo Equivalence (CME) for CHR, that generalizes the classical confluence notion (CC) studied so far for CHR. A program being confluent means that the final result, i.e., the final constraint store, for a query is independent of the order in which the program rules are applied. CME involves an equivalence relation specified by the programmer, so that alternative program traces do not need to lead to identical states (as for CC), but only to states equivalent modulo the equivalence relation. CME allows a much larger class of programs to be considered confluent, e.g., with redundant data representations (sets as lists or trees) and dynamic programming algorithms with pruning, that were not covered by earlier work.
FormalCog: Formal Semantics and Analysis of Cognitive Architectures
With Daniel Gall, Ulm University,
The aim of this project is to develop a formal basis for analysis of a cognitive modeling architecture and its sound implementation as a proof-of-concept.
Computational cognitive modeling explores human cognition by building models that are executable by computers. Such computational models can serve as process-based theories that support classic behavioral studies to better understand human cognition.
Currently, computational cognitive modeling architectures as well as the implementations of cognitive models are typically ad-hoc constructs. They lack a formalization from the computer science point of view. This impedes analysis of the underlying languages and the programmed models. It makes it hard to compare different implementation variants of the languages. It makes it hard to verify properties of the models. These issues call for a formal semantics of cognitive modeling languages together with proper analysis techniques.
The main objective of this project is to connect the psychological methods from computational cognitive modeling with results from computer science to eliminate ad-hoc cognitive modeling. We will develop a formal operational semantics for a popular cognitive modeling language and build an analysis framework upon it.
In short, the possibility of analyzing models on a sound semantical basis will enable the formally founded validation of cognitive models. Last but not least, our endeavor will foster the interplay between Computational Psychology and Computer Science.
A Refined Operational Semantics for ACT-R, PhD. cand. Daniel Gall, PPDP 2015.
ACT-R cognitive modeling language in CHR, M.Sc. thesis, Daniel Gall, 2013.
Longterm Routing for Autonomous Robot Sailboats with Constraint Handling Rules
With Roland Stelzer, INNOC, Vienna, Austria and Jon Sneyers, K.U.Leuven, Belgium, 2009-2013.
Click on image downloads paper.
Events like the devastating tsunamis in Asia, the Deep-water Horizon oil spill in Gulf of Mexico, accidents involving refugee boats in the Mediterranean Sea and pirate activities in the Gulf of Aden have impressively emphasized the importance of a fully integrated ocean observation system. Robotic sailing boats offer the possibility of sampling an area of interest with high temporal and spatial resolution at low cost. The ASV Roboat from INNOC Vienna won several international competitions in robotic sailing in recent years. It has also completed a several-day oceanographic research mission in the Baltic Sea.
Robotic sailing boats execute complex sailing processes completely autonomously and without human interaction. Starting with finding a route based on weather data, to the autonomous execution of manoeuvres, robotic boats are able to reach any desired destination. We developed a rule-based algorithm for long-term routing of robotic sailboats. It computes optimal routes based on wind conditions, ocean currents, and shorelines, while taking the boats individual characteristics into account.
Click on image shows roboat video.
Robotic sailing world record attempt (press release in German),
(news article in German),
July 2012, Eckernfoerde, Germany.
Collaboration with Jon Sneyers and Jochen Deferme, K.U. Leuven, and
with Roboat sailing team of Roland Stelzer, INNOC Vienna, using CHR for autonomous robotic sailboat routing.
Video: The Roboat in Action (from INNOC Vienna).
Longterm Routing for autonomous sailboats, research paper with Johannes Langbein Uni Ulm, Roland Stelzer INNOC Vienna, Jon Sneyers K.U. Leuven.
FWO-Project Termination Analysis for Constraint Handling Rules
External project partner of Prof. Danny De Schreye, K.U. Leuven, Belgium, 2008-2011.
In this project, we aim to develop several new, powerful techniques for termination analysis of CHR. Our main target is to develop techniques that are able to deal with a much large class of programs than what is currently the case. In particular, programs with propagation and simpagation rules should be in the scope of the new approach.
We will port a number of recent techniques, developed in the context of Term Rewrite Systems, such as dependency pairs, and apply them to obtain powerful termination analyzers for CHR. We will also adapt abstract interpretation for CHR to better support termination analysis. Finally, we will develop prototype systems for the most promising techniques developed in the project. We will set up a benchmark of CHR programs that form a challenge for termination analysis and we will test the implemented prototypes on this benchmark.
GLOB-CON - Rule-Based Propagation of Global Constraints
DFG Project FR 1390/1-1,
External project partner is Dr. Sebastian Brand, Melbourne University, Australia.
The project is concerned with the formally correct and efficiently executable specification of constraint propagation for complex, global constraints by means of rules. A constraint satisfaction problem consists of a set of constraints which must be satisfied by every solution. Problems of this type, including NP-complete ones, can be solved well by problem simplification methods -- constraint propagation -- combined with search. Notably constraint-specific propagation methods can cause huge reductions of the search space at low cost, drastically reducing the solving time in turn. Specification as well as correct implementation of such methods requires substantial expertise, however. Rules have proved to be a useful formalism for the description of the propagation of primitive, simple constraints. Appropriate rule-based languages, notably Constraint Handling Rules, and corresponding implementations exist in which constraint propagation procedures can immediately be executed. Several methods for generating propagation rules automatically from declarative definitions of primitive constraints have been developed in the last years. The purpose of this project is to investigate the specification of the propagation of global constraints by rules, and the automatic generation of rule-based constraint propagation mechanisms for such constraints. This project proposal pursues the classical ideal of generating practical programs from formal specifications.
MTSeq: Multi-touch-enabled CHR-based Music Generation and Manipulation
With Jon Sneyers, K.U. Leuven, 2009-2010.
Click on image shows video demo
MTSeq combines GUI-driven multi-touch input
technology with the CHR-based music generation system APOPCALEAPS and an advanced audio engine.
APOPCALEAPS (Automatic POP Composer And LEArner of ParameterS)
is an artificial intelligence application that can compose music and learn music styles from samples. It is written in an probabilistic extension of CHR called CHRiSM.
MTSeq leads to an extended user experience and an intuitive, playful access to the music generation system, and thus introduces the capabilities of the programming language
CHR to musicians and other non-computer-scientists in an appropriate way.
Video CHR-powered TTable MTSeq Multitouch Music Generation System Demo, also at iTunes U.
Florian Geiselhart, Frank Raiser, Jon Sneyers, Thom Frühwirth. MTSeq - multi-touch-enabled music generation and manipulation based on CHR. CHR Workshop 2010.
FWO-Project Platform-independent Analysis and Implementation of Constraint Handling Rules
External project partner of
Prof. Maurice Bruynooghe,
Prof. Gerda Janssens,
Prof. Bart Demoen,
K.U. Leuven, Belgium, 2007-2010.
This project intends to study and develop new analysis and implementation techniques for the language CHR. The project will focus in particular on the design of an abstract machine for CHR, the optimizing compilation of CHR by means of abstract interpretation, the study of complexity (space and time) properties of CHR and the study of techniques for compile time memory reuse.
ROARS - Reuse-Oriented Automated Reasoning Software
DAAD Probral and CAPES Project 415-br-probral/po/D05/30354,
Project partners are Prof. Dr. Jacques Robin, Universidade Federal do Pernambuco (CInUFPE), Recife, Brazil, and Prof. Dr. Colin Atkinson, University of Mannheim, Germany, and Dr. Armin Wolf, Fraunhofer FIRST, Berlin, Germany.
The project aims to create the first inter-institutional research group worldwide to investigate the cross-fertilization between reuse-oriented software engineering and application-embedded automated reasoning based on constraints and rules. Main issues are the meta-model and formal logic semantics of a hybrid object-oriented, rule-based constraint language to mediate between UML models and Java or C implementations to create reusable and extensible rule-based AR components for deduction, abduction, belief revision, inheritance, finite domain constraint solving and their seamless integration.
More about ROARS.
JCK - Java Constraint Kit
IB-BMBF/SCyT Project ARG 030/98 INF:
Java Constraint Kit, 1999-2002.
The main goal of the joint project is to develop a Java-based software tool for solving combinatorial, optimization and planning problems using constraint technology. Towards this end, we will implement a constraint logic programming kit in the internet programming language Java. Our choice of Java will allow easy implementation and wide-spread use of the tool. The concrete target of the JCK project is to embed the Constraint Handling Rules (CHR) into the JavaLog programming language. CHR is a special language for the description of constraint systems whereas JavaLog is an implementation of Prolog in Java.
JCK Java Constraint Kit
FLPC - Functional Programming with Constraints
DFG project Wi 841/4-1:
mit Constraints, 1996-2002.
The goal of the project is the semantically well-founded integration of functional, logic and constraint-based programming, the implementation of a prototype language, the use and validation of the language in application studies and finally the development of a programming methodology.
DExVal - Simulating and Analyzing Hybrid Systems
IB-BMBF/CNPQ project: Formal Derivation of Meaningful Validation Experiments,
We work on a tool to derive validation and testing tasks of software derived from formal specifications. The basis of our approach is the abstract execution of hybrid systems (including statecharts) in a constraint logic programming language. It is possible to run the hybrid system abstractly, i.e. without giving values to initial variables at all. Moreover, any variable in any state can be constrained. The programm then produces all valid runs possible that satisfy the given constraints on the variables. The result of a run are time-dependent constraints that must be satisfied by the variables of the hybrid system at different instances of time.
A. E. M. Ciarlini and T. Frühwirth, Automatic Derivation of Meaningful Experiments for Hybrid Systems, ACM SIGSIM Conference on AI, Simulation and Planning (AIS'2000), Tucson, Arizona, USA, March 2000. Paper, Slides.
ZEITRAUM - Spatio-temporal Reasoning for GIS
DAAD Project 314-VIGONI-DR:
Spatio-temporal Reasoning for GIS, 2000-2001.
Together with the University of Pisa we aim at the development of new techniques to support spatio-temporal reasoning in databases, in particular geographic information systems (GIS), on the basis of constraint logics and constraint databases. The TACLP approach of Dr. Frühwirth shall be extended by spatial aspects and shall be integrated in deductive data models. In this way, we expect an improvement in the application-oriented representation of spatio-temporal relationships and the user-friendly integration and interaction of heterogeneous data models and information sources for problem solving.
TACLP - Temporal Annotated Constraint Logic Programming
A family of logics and associated programming languages for
representing and reasoning about time is introduced. The family is
conceptually simple while allowing for different models of time.
Formulas can be labeled with temporal information using
annotations. Both qualitative and quantitative (metric) temporal
reasoning about definite and indefinite information with time points
(instants) and time periods (temporal intervals) in different models
of time are supported. The important property of the logics is that
there is a systematic way to make their clausal fragment executable as a
constraint logic program.
Temporal Annotated Constraint Logic Programming, Journal of Symbolic Computation, Special issue on Executable Temporal Logics (M. Fisher, M. Orgun and S. Kono, Eds.), Vol. 22, pp. 555-583, Academic Press, 1996, Paper (ps.Z).
POPULAR - Planning Cordless Communication
The versatility of CHR has been shown in a
real-life application for SIEMENS
involving geometric reasoning to find the optimal placement of
senders for wireless portable devices (e.g. phones). Given a
blue-print of the building and information about the materials used
for walls and ceilings, POPULAR computes the minimal number of
transmitters and their location by simulation and subsequent
constraint-based optimization. This tool was regarded as one of the
most innovative applications in telecommunications by IEEE Expert
POPULAR won the Telecom application contest of Telecom Italia at CP'98,
the annual conference on constraint programming, in October 1998.
MRA - The Munich Rent Advisor
This real-life application brings constraints to the internet.
It is a small expert system that allows one to calculate the typical
rent of a flat in Munich based on your input to a questionnaire.
The Munich Rent Advisor (MRA) won the prize for best application at
JFPLC, Clermont Ferrand, France, June 1996.
The MRA was shown at the SYSTEMS 96 and SYSTEMS 97
Computer Shows in Munich, Germany,
and featured in several newspaper articles and AI Watch, UK.
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EU ESPRIT project #5291, Constraint Handling in Industry and Commerce, 1991-95. Development of a programming methodology for constraint languages and its application in industry.
EU ESPRIT project #7035, Logic and Change, 1994-96. Research in non-monotonicity and temporal change in logics and its application in programming languages.
EU ESPRIT project #6333, Intelligent Database Environment for Advanced Applications, 1995. Development of an object-oriented deductive database system.
EU ESPRIT project #2409, Environment for Qualitative Temporal Reasoning, 1992-93. Development and application of temporal reasoning to air traffic control and urban traffic control.
Fulbright grant and Austrian chamber of commerce grant, 1989-1990 for research stay with Prof. Dr. D. S. Warren, Computer Science Department, State University of New York at Stony Brook, USA.
Austrian National Bank Grant #2791, A Deductive Database Management System (in German), 1984-86. Development of a deductive database system at the Technical University of Vienna.
Thom Frühwirth, updated December 1, 2016