7 citations · 23 across the 6 of their papers we have counts for
6 papers
FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data
Huaduo Wang, Farhad Shakerin, Gopal Gupta
FOLD-RM is an automated inductive learning algorithm for learning default rules for mixed (numerical and categorical) data. It generates an (explainable) answer set programming (AS…
AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning
Suraj Kothawade, Vinaya Khandelwal, Kinjal Basu +2
Driving an automobile involves the tasks of observing surroundings, then making a driving decision based on these observations (steer, brake, coast, etc.). In autonomous driving, a…
CASPR: A Commonsense Reasoning-based Conversational Socialbot
Kinjal Basu, Huaduo Wang, Nancy Dominguez +4
We report on the design and development of the CASPR system, a socialbot designed to compete in the Amazon Alexa Socialbot Challenge 4. CASPR's distinguishing characteristic is tha…
A Clustering and Demotion Based Algorithm for Inductive Learning of Default Theories
Huaduo Wang, Farhad Shakerin, Gopal Gupta
We present a clustering- and demotion-based algorithm called Kmeans-FOLD to induce nonmonotonic logic programs from positive and negative examples. Our algorithm improves upon-and…
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…
grASP: A Graph Based ASP-Solver and Justification System
Fang Li, Huaduo Wang, Gopal Gupta
Answer set programming (ASP) is a popular nonmonotonic-logic based paradigm for knowledge representation and solving combinatorial problems. Computing the answer set of an ASP prog…