---
title: "Knowledge Oriented Learning"
authors:
  - "Paul D. Scott"
  - "Robert C. Vogt"
doi: ""
url: "https://ijcai.org/proceedings/1983/105"
pdf: "https://ijcai.org/proceedings/1983/0105.pdf"
venue: "Proceedings of the Eighth International Joint Conference on Artificial Intelligence"
year: 1983
pages: "432-434"
track: "Learning and Knowledge Acquisition"
keywords:
---

# Knowledge Oriented Learning

Paul D. Scott, Robert C. Vogt

*Proceedings of the Eighth International Joint Conference on Artificial Intelligence*, pages 432-434.

## Abstract

Two alternative learning strategies are defined and discussed: Task-oriented learning in which a system tries to improve its performance at a specified task and knowledge-oriented learning in which a system bui Ids an organised representation of experience. It is argued that the relationship between these two strategies is analagous to the relationship between technology and science. Hence it is concluded that the development of knowledge-oriented learning systems, which has been largely overlooked by the AI community, is a worthwhile research goal. We then proceed to describe how such a system may 'be constructed by building a machine which continually tries to reduce its own uncertainty regarding the outcome of its actions. An implementation which learns to perform a multiple concept learning task in the presence of noisy data is briefly described.