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

We consider the problem of finding relevant consistent concepts in a conversational AI system, particularly, for realizing socialbot. Commonsense knowledge about various topics can be represented as an answer set program. However, to advance conversation, we need solve concepts, i.e., find "neighborhood" current topic being discussed that used conversation. Traditional ASP solvers will generate whole which is stripped all associations between atoms (concepts) and thus cannot concepts. Similarly, goal-directed implementations only directly query. present DiscASP system partial model given manner similar how human it. based on novel graph-based algorithm stable models algorithm, its implementation, application developing