Building generators to create test cases that Property-Based Testing use to test software behaviour is a hard, quite costly, and error-prone task. Even though most Property-Based Testing frameworks ...
Abstract: Constraint logic programming (CLP) is a new class of declarative programming languages whose primitive operations are based on constraints (e.g. constraint solving and constraint entailment) ...
Abstract: Constraint Answer Set Programming (CASP) combines Answer Set Programming (ASP) and Constraint Programming (CP) to offer a powerful framework for solving complex problems. While there exists ...
The best way to describe miniKanren (or more generally, a relational programming language) is by example. You could simply use Grid Search from scikit-learn. Relational programming doesn't provide ...
Constraint programming combined with machine learning provides a robust framework for addressing complex combinatorial problems across diverse domains such as energy management, production scheduling ...
Recently a logic programming language AC was proposed by Mellarkod et al. (2008) to integrate answer set programming (ASP) and constraint logic programming. Similarly, Gebser et al. (2009) proposed a ...
ABSTRACT: This paper introduces a methodology that enables the relational learning framework to incorporate quantitative data derived from experimental studies in microbial ecology. The focus of using ...
In the article, the authors harness recent advances in incremental answer set solving for developing effective algorithms for reasoning tasks in the logic programming fragment of assumption-based ...
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