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  1. Spacetime programming: a synchronous language for constraint search

    Constraint programming is a paradigm for computing with mathematical relations named constraints. It is a declarative approach to describe many...

    Pierre Talbot in Constraints
    Article 23 September 2023
  2. Constraint Programming Paradigm

    InParadigmconstraint Programmingconstraint this chapter we describe the constraint programming paradigm, a third approach to declarative programming...
    Maurizio Gabbrielli, Simone Martini in Programming Languages: Principles and Paradigms
    Chapter 2023
  3. Declarative Reasoning on Explanations Using Constraint Logic Programming

    Explaining opaque Machine Learning (ML) models is an increasingly relevant problem. Current explanation in AI (XAI) methods suffer several...
    Laura State, Salvatore Ruggieri, Franco Turini in Logics in Artificial Intelligence
    Conference paper 2023
  4. Inverse reinforcement learning through logic constraint inference

    Autonomous robots start to be integrated in human environments where explicit and implicit social norms guide the behavior of all agents. To assure...

    Mattijs Baert, Sam Leroux, Pieter Simoens in Machine Learning
    Article 14 March 2023
  5. Applications of Muli: Solving Practical Problems with Constraint-Logic Object-Oriented Programming

    The Münster Logic-Imperative Language (Muli) is a constraint-logic object-oriented programming language, suited for the development of applications...
    Chapter 2023
  6. Logic programming for deliberative robotic task planning

    Over the last decade, the use of robots in production and daily life has increased. With increasingly complex tasks and interaction in different...

    Daniele Meli, Hirenkumar Nakawala, Paolo Fiorini in Artificial Intelligence Review
    Article Open access 18 January 2023
  7. Dynamic Logic Programming

    Dynamic Logic Programming (DLP) is an extension to logic programming designed to support the representation of knowledge about dynamic worlds. It...
    Michael Genesereth in Prolog: The Next 50 Years
    Chapter 2023
  8. Predicate Anti-unification in (Constraint) Logic Programming

    The concept of anti-unification refers to the process of determining the most specific generalization (msg) of two or more input program objects. In...
    Gonzague Yernaux, Wim Vanhoof in Logic-Based Program Synthesis and Transformation
    Conference paper 2023
  9. Logic Programming Paradigm

    In this chapter we analyse a second main paradigm which supports declarative programming: logic programming. This paradigm includes both theoretical...
    Maurizio Gabbrielli, Simone Martini in Programming Languages: Principles and Paradigms
    Chapter 2023
  10. CoPTIC: Constraint Programming Translated Into C

    Constraint programming systems allow a diverse range of problems to be modelled and solved. Most systems require the user to learn a new constraint...
    Conference paper Open access 2023
  11. Theorem Proving as Constraint Solving with Coherent Logic

    In contrast to common automated theorem proving approaches, in which the search space is a set of some formulae and what is sought is again a (goal)...

    Predrag Janičić, Julien Narboux in Journal of Automated Reasoning
    Article 20 May 2022
  12. Combining Logic Programming and Imperative Programming in LPS

    Logic programs and imperative programs employ different notions of computing. Logic programs compute by proving that a goal is a logical consequence...
    Robert Kowalski, Fariba Sadri, ... Jacinto Dávila in Prolog: The Next 50 Years
    Chapter 2023
  13. A Constraint-Based Mathematical Modeling Library in Prolog with Answer Constraint Semantics

    Constraint logic programming emerged in the late 80’s as a highly declarative class of programming languages based on first-order logic and theories...
    Conference paper 2024
  14. Inductive logic programming at 30

    Inductive logic programming (ILP) is a form of logic-based machine learning. The goal is to induce a hypothesis (a logic program) that generalises...

    Andrew Cropper, Sebastijan Dumančić, ... Stephen H. Muggleton in Machine Learning
    Article Open access 09 November 2021
  15. Lifting symmetry breaking constraints with inductive logic programming

    Efficient omission of symmetric solution candidates is essential for combinatorial problem-solving. Most of the existing approaches are...

    Alice Tarzariol, Martin Gebser, Konstantin Schekotihin in Machine Learning
    Article Open access 19 April 2022
  16. Functional and Logic Programming 16th International Symposium, FLOPS 2022, Kyoto, Japan, May 10–12, 2022, Proceedings

    This book constitutes the proceedings of the 16th International Symposium on Functional and Logic Programming, FLOPS 2022, held in Kyoto, Japan, in...

    Michael Hanus, Atsushi Igarashi in Lecture Notes in Computer Science
    Conference proceedings 2022
  17. Functional and Constraint Logic Programming 28th International Workshop, WFLP 2020, Bologna, Italy, September 7, 2020, Revised Selected Papers

    This book constitutes the refereed post-conference proceedings of the 28th International Workshop on Functional and Constraint Logic Programming,...
    Michael Hanus, Claudio Sacerdoti Coen in Lecture Notes in Computer Science
    Conference proceedings 2021
  18. A constraint programming model for the scheduling and workspace layout design of a dual-arm multi-tool assembly robot

    The generation of a robot program can be seen as a collection of sub-problems, where many combinations of some of these sub-problems are well...

    Johan Wessén, Mats Carlsson, ... Mihhail Matskin in Constraints
    Article Open access 01 June 2023
  19. Logic programming in tensor spaces

    This paper introduces a novel approach to computing logic programming semantics. First, a propositional Herbrand base is represented in a vector...

    Chiaki Sakama, Katsumi Inoue, Taisuke Sato in Annals of Mathematics and Artificial Intelligence
    Article 16 August 2021
  20. Constraint-Logic Object-Oriented Programming with Free Arrays

    Constraint-logic object-oriented programming provides a useful symbiosis between object-oriented programming and constraint-logic search. The ability...
    Hendrik Winkelmann, Jan C. Dageförde, Herbert Kuchen in Functional and Constraint Logic Programming
    Conference paper 2021
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