Researchers in Artificial Intelligence have traditionally been classified into two categories:
the “neaties” and the “scruffies”. According to the scruffies, the neaties concentrate on …

In this paper, we present the following view on problem-solving methods for knowledge-
based systems: problem-solving methods describe anefficient reasoning strategyfor …

In this paper we present the following view on problem-solving methods for knowledge-
based systems: Problem-solving methods describe an efficient reasoning strategy to …

Abstract European research in Inductive Logic Programming (ILP) has been mainly
conducted within two ESPRIT research projects, ILP (1992–95) and ILP2 (1996–98) …

Here is presented a platform for automatic composition of inductive learning systems using
ontologies called CAMLET, based on knowledge modeling and ontologies engineering …

In this paper we present the following view on problem-solving methods: Problemsolving
methods describe an e cient reasoning strategy to achieve a goal by introducing …

Within this paper, we analyse the nature of knowledge discovery in database. We conclude
that it is similar to that of knowledge acquisition, yet unique in that it employs pre-existing …

This proposed learning system model lets engineers experiment more easily with alternative
learning-tool configurations when developing knowledge-based applications. THE …

A topic in the field of knowledge acquisition is the reuse of components that are described at
the knowledge level. Problems concern the description, indexing and retrieval of …

Abstract Interest in adaptable Machine Learning systems grows as the number of concept
learning applications increases. We present here a generic algorithm expressed in terms of …