Constraint-Based Integrity Checking in Abductive and Non-Monotonic Extensions of Constraint Logic Programming
Abstract
Recent research on the integration of the abductive and constraint logic programming paradigms has led to systems which are both expressive and computationally efficient. This paper investigates the role of constraints in integrity checking in the context of such systems. Providing support for constraints in this role leads to a framework that is significantly more expressive, without significant loss in efficiency. We augment the Abductive Constraint Logic Programming framework with assumed constraints and provide model- and proof-theoretic accounts of two variants: one which involves commitment to such assumptions, and one which does not. We also show that such accounts extend easily to a constraint logic programming framework which supports both negation and assumed constraints. The gains in expressivity in these frameworks turn out to be particularly useful in a variety of application domains, including scheduling and constraint database updates. Introduction Recent research on ...
Cite
Text
Ghose and Padmanabhuni. "Constraint-Based Integrity Checking in Abductive and Non-Monotonic Extensions of Constraint Logic Programming." AAAI Conference on Artificial Intelligence, 1999.Markdown
[Ghose and Padmanabhuni. "Constraint-Based Integrity Checking in Abductive and Non-Monotonic Extensions of Constraint Logic Programming." AAAI Conference on Artificial Intelligence, 1999.](https://mlanthology.org/aaai/1999/ghose1999aaai-constraint/)BibTeX
@inproceedings{ghose1999aaai-constraint,
title = {{Constraint-Based Integrity Checking in Abductive and Non-Monotonic Extensions of Constraint Logic Programming}},
author = {Ghose, Aditya and Padmanabhuni, Srinivas},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1999},
pages = {265-270},
url = {https://mlanthology.org/aaai/1999/ghose1999aaai-constraint/}
}