Evolving Systems of Knowledge

N. S. Sridharan

Abstract


The enterprise of developing knowledge-based systems is currently witnessing great growth in popularity. The central unity of many such programs is that they interpret knowledge that is explicitly encoded as rules. While rule-based programming comes with certain clear pay-offs, further fundamental advances in research are needed to extend the scope of tasks that can be adequately represented in this fashion. This article is a statement of personal perspective by a researcher interested in fundamental issues in the symbolic representation and organization ok knowledge.

Full Text:

PDF


DOI: http://dx.doi.org/10.1609/aimag.v6i3.493

Copyright © 2014, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.