Add to ORKGThis paper describes applications of logic programming technology to the teaching of the inductive method in computer science and mathematics. It discusses the nature of inductive thought and its place in those fields of inquiry, arguing that a complete logic programming system for supporting inductive inference is not only feasible but necessary. A sample dialog from the Prologb system is included, along with an overview of the Prologb language and some details about classroom experiences using the system. (Author/BEW) Reproductions supplied by EDRS are the best that can be made from the original document
Logic programming has been introduced as programming in the Horn clause subset of first-order logic....
Abstract The last three decades has seen the development of Computational Logic techniques within Ar...
The aim of this paper is to show that logic programming is a powerful tool for representing scientif...
AbstractInductive Logic Programming (ILP) is the area of AI which deals with the induction of hypoth...
This paper traces the development of the main ideas that have led to the present state of knowledge ...
Inductive Logic Programming (ILP) is a new discipline which investigates the inductive construction ...
Inductive logic programming (ILP) is a form of machine learning. The goal of ILP is to induce a hypo...
Inductive logic programming (ILP) is a form of logic-based machine learning. The goal is to induce a...
We discuss a logic-based methodology that we adopted to teach basic concepts of programming to high ...
Inductive logic programming (ILP) is built on a foundation laid by research in machine learning and ...
We summarise recent work on using Inductive Logic Programming (ILP) for Natural Language Processing ...
Abstract A new research area, Inductive Logic Programming, is presently emerging. While inheriting v...
In this report the program and the outcomes of Dagstuhl Seminar 21192 "Approaches and Applications o...
This paper gives a brief introduction to a particular machine learning method known as inductive log...
Inductive Logic Programming (ILP) is a subfield of Machine Learning with foundations in logic progra...
Logic programming has been introduced as programming in the Horn clause subset of first-order logic....
Abstract The last three decades has seen the development of Computational Logic techniques within Ar...
The aim of this paper is to show that logic programming is a powerful tool for representing scientif...
AbstractInductive Logic Programming (ILP) is the area of AI which deals with the induction of hypoth...
This paper traces the development of the main ideas that have led to the present state of knowledge ...
Inductive Logic Programming (ILP) is a new discipline which investigates the inductive construction ...
Inductive logic programming (ILP) is a form of machine learning. The goal of ILP is to induce a hypo...
Inductive logic programming (ILP) is a form of logic-based machine learning. The goal is to induce a...
We discuss a logic-based methodology that we adopted to teach basic concepts of programming to high ...
Inductive logic programming (ILP) is built on a foundation laid by research in machine learning and ...
We summarise recent work on using Inductive Logic Programming (ILP) for Natural Language Processing ...
Abstract A new research area, Inductive Logic Programming, is presently emerging. While inheriting v...
In this report the program and the outcomes of Dagstuhl Seminar 21192 "Approaches and Applications o...
This paper gives a brief introduction to a particular machine learning method known as inductive log...
Inductive Logic Programming (ILP) is a subfield of Machine Learning with foundations in logic progra...
Logic programming has been introduced as programming in the Horn clause subset of first-order logic....
Abstract The last three decades has seen the development of Computational Logic techniques within Ar...
The aim of this paper is to show that logic programming is a powerful tool for representing scientif...