Ontologies for Learning Agents: Problems, Solutions and Directions

Abstract

We are developing a general end-to-end approach, called Disciple, for building and using personal problem solving and learning agents. This approach raises complex challenges related to ontology specification, import, elicitation, learning, and merging, that we have explored to various degrees, as we are developing successive versions of Disciple. This paper presents some of these challenges, our current solutions and the future directions, that are relevant for building agents in general