The DOI matches its Crossref record.
Programming with Constraints: An Introduction
Abstract
The job of the constraint programmer is to use mathematical constraints to model real world constraints and objects. In this book, Kim Marriott and Peter Stuckey provide the first comprehensive introduction to the discipline of constraint programming and, in particular, constraint logic programming. The book covers the necessary background material from artificial intelligence, logic programming, operations research, and mathematical programming. Topics discussed range from constraint-solving techniques to programming methodologies for constraint programming languages. Because there is not yet a universally used syntax for constraint logic programming languages, the authors present the programs in a way that is independent of any existing programming language. Practical exercises cover how to use the book with a number of existing constraint languages.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Ant colony optimization: Introduction and recent trends
Blum, C. (2005) · Physics of Life Reviews · doi:10.1016/j.plrev.2005.10.001 · Cited by 1,308
Knowledge Representation and Reasoning
(2024) · Encyclopedia of Computer Graphics and Games · doi:10.1007/978-3-031-23161-2_300700 · Cited by 819
Simplify: a theorem prover for program checking
Detlefs, D., Nelson, G., & Saxe, J. B. (2005) · Journal of the ACM · doi:10.1145/1066100.1066102 · Cited by 786
Automated Reasoning on Feature Models
Benavides, D., Trinidad, P., & Ruiz-Cortés, A. (2005) · Notes on Numerical Fluid Mechanics and Multidisciplinary Design · doi:10.1007/11431855_34 · Cited by 614
Logic‐Based Methods for Optimization: Combining Optimization and Constraint Satisfaction
Hooker, J. (2000) · Wiley eBooks · doi:10.1002/9781118033036 · Cited by 292
Metadata
- Authors
- Marriott, K., & Stuckey, P.
- Venue
- The MIT Press eBooks
- Publisher
- The MIT Press
- Published
- 1998-02-26
- OpenAlex
- W1589232796
- Cited by
- 864
- References
- 0
- FWCI
- 60.93
- Type
- book
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Programming with Constraints: An Introduction. https://app.cochat.ai/papers/10.7551/mitpress/5625.001.0001
- The paper
- Marriott, K., & Stuckey, P. (1998). Programming with Constraints: An Introduction. The MIT Press eBooks. https://doi.org/10.7551/mitpress/5625.001.0001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
