Knowledge of Uncertain Worlds: Programming with Logical Constraints
Logic in Computer Science
2021-10-07 v3 Artificial Intelligence
Programming Languages
Abstract
Programming with logic for sophisticated applications must deal with recursion and negation, which together have created significant challenges in logic, leading to many different, conflicting semantics of rules. This paper describes a unified language, DA logic, for design and analysis logic, based on the unifying founded semantics and constraint semantics, that support the power and ease of programming with different intended semantics. The key idea is to provide meta-constraints, supports the use of uncertain information in the form of either undefined values or possible combinations of values or both, and promote the use of knowledge units that can be instantiated by any new predicates, including predicates with additional arguments.
Cite
@article{arxiv.1910.10346,
title = {Knowledge of Uncertain Worlds: Programming with Logical Constraints},
author = {Yanhong A. Liu and Scott D. Stoller},
journal= {arXiv preprint arXiv:1910.10346},
year = {2021}
}