scholar.google.com › citations
Mar 14, 2002 · These techniques are realized in logic programming as nonmonotonic logic programming (NMLP) and inductive logic programming (ILP), respectively.
Abstract. Commonsense reasoning and machine learning are two im- portant topics in AI. These techniques are realized in logic programming as nonmonotonic ...
Chiaki Sakama: Towards the Integration of Inductive and Nonmonotonic Logic Programming. Progress in Discovery Science 2002: 178-188. manage site settings.
People also ask
What is inductive logic programming?
Is inductive logic programming a machine learning technique or not?
Which among these in AI includes inductive methods with the power of first order representation?
Towards the Integration of Inductive and Nonmonotonic Logic Programming ; Authorship: Contributor ; Area of responsibility: pages 178-188 ; Publisher: Progress in ...
We propose an approach for the integration of abduction and induction in Logic Programming. We define an Abductive Learning Problem as an extended Inductive ...
Our architecture draws inspiration from research in cognitive systems, and integrates the principles of commonsense logical reasoning, inductive learning, and ...
This paper presents techniques for combining these two fields of logic programming in the context of nonmonotonic inductive logic programming (NMILP). We review ...
The integrated system presented in this dissertation is capable of handling constraints, tabling, coinduction and non-monotonic reasoning, all at the same time.
Abstract. Nonmonotonic logic programming (NMLP) and inductive logic programming (ILP) are two important extensions of logic programming.
Oct 11, 2024 · This book constitutes the refereed proceedings of the 17th International Conference on Logic Programming and Nonmonotonic Reasoning, ...