Abstract: Around twenty years ago, Generative Constraint Programming techniques, such as the Generative Constraint Satisfaction Problem (GCSP), were developed to deal with problems mainly based on ...

Constraint programming is a declarative method for modelling and solving decision problems by specifying variables, their domains and relations that must hold. Combinatorial optimization extends this ...

Abstract: Fuzzy constraint programming is implemented to optimize a cost function facing vague constraints. In this paper, for the first time, a novel distributed constraint programming is developed ...

Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...

A critical factor in the success of many decision support systems is the accurate modeling of user preferences. Psychology research has demonstrated that users often develop their preferences during ...

Ask the publishers to restore access to 500,000+ books. A line drawing of the Internet Archive headquarters building façade. An illustration of a heart shape "Donate to the archive" An illustration of ...

Gemma Johnson is a Senior Contributor from the United Kingdom who writes guides, lists, and updates. Gemma's passion for video games began in the 90s, growing up with classic titles like Goldeneye, ...

This repository contains the code and runnable notebook for our Explainable Constraint Solving tutorials and talks. Explainable constraint solving is a sub-field of explainable AI (XAI) concerned with ...

Probabilistic Answer Set and SAT solver based on Differentiable Satisfiability ::::: Use cases, e.g., Probabilistic SAT solving, Weighted SAT solving, Probabilistic ...