We develop an approach called bounded combinatorial reconfiguration for
...
We propose an end-to-end approach for answer set programming (ASP) and l...
Understanding the dynamics of a system is important in many scientific a...
Moral responsibility is closely intermixed with causality, even if it ca...
Learning first-order logic programs (LPs) from relational facts which yi...
We propose a method for generating explainable rule sets from tree-ensem...
Algebraic characterization of logic programs has received increasing
att...
In this paper, we introduce methods of encoding propositional logic prog...
The ability to maximize the performance during peak workload hours and
m...
Meta-Interpretive Learning (MIL) learns logic programs from examples by
...
Despite the impressive search rate of one key per clock cycle, the updat...
Bitmap index is recognized as a promising candidate for online analytics...
Encoding finite linear CSPs as Boolean formulas and solving them by usin...
Knowledge Representation and Reasoning and Machine Learning are two impo...
Answering realistic questions about biological systems and pathways simi...
One of our long term research goals is to develop systems to answer real...
Publishing private data on external servers incurs the problem of how to...