activity
20172021
most citedComputing Stable Models of Normal Logic Programs Without Grounding

20 citations · 31 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LO20217 cited

DiscASP: A Graph-based ASP System for Finding Relevant Consistent Concepts with Applications to Conversational Socialbots

Fang Li, Huaduo Wang, Kinjal Basu +2

We consider the problem of finding relevant consistent concepts in a conversational AI system, particularly, for realizing a conversational socialbot. Commonsense knowledge about v…

cs.LO20214 cited

Knowledge-Assisted Reasoning of Model-Augmented System Requirements with Event Calculus and Goal-Directed Answer Set Programming

Brendan Hall, Sarat Chandra Varanasi, Jan Fiedor +7

We consider requirements for cyber-physical systems represented in constrained natural language. We present novel automated techniques for aiding in the development of these requir…

cs.PL2018

Constraint Answer Set Programming without Grounding

Joaquín Arias, Manuel Carro, Elmer Salazar +2

Extending ASP with constraints (CASP) enhances its expressiveness and performance. This extension is not straightforward as the grounding phase, present in most ASP systems, remove…

cs.LO201720 cited

Computing Stable Models of Normal Logic Programs Without Grounding

Kyle Marple, Elmer Salazar, Gopal Gupta

We present a method for computing stable models of normal logic programs, i.e., logic programs extended with negation, in the presence of predicates with arbitrary terms. Such prog…

cs.AI2017

Improving Adherence to Heart Failure Management Guidelines via Abductive Reasoning

Zhuo Chen, Elmer Salazar, Kyle Marple +4

Management of chronic diseases such as heart failure (HF) is a major public health problem. A standard approach to managing chronic diseases by medical community is to have a commi…

cs.LO2017

A New Algorithm to Automate Inductive Learning of Default Theories

Farhad Shakerin, Elmer Salazar, Gopal Gupta

In inductive learning of a broad concept, an algorithm should be able to distinguish concept examples from exceptions and noisy data. An approach through recursively finding patter…