Knowledge Acquisition Planning: Results and Prospects

Abstract

This chapter discusses the results and prospects of knowledge acquisition planning. Knowledge acquisition planning is an integrative technology. Various machine learning tools can all be deployed, based on an automatic assessment of the appropriateness of each tool for a given task. Such tools can be combined into plans for accomplishing complex knowledge acquisition goals. Many new research questions are raised by such a framework, from the way to represent the abilities of individual inference techniques to the way people come to desire specific knowledge. KA planning has demonstrated its potential in IVY, a program that learned about diagnosing lung tumors. Although programs have been responsible for discoveries that have merited scientific publications, AI research into scientific discovery has usually been directed at rediscovery.