Minds and Machines

, Volume 8, Issue 3, pp 317–351

The Frame Problem: An AI Fairy Tale

  • Kevin B. Korb
Article

DOI: 10.1023/A:1008286921835

Cite this article as:
Korb, K.B. Minds and Machines (1998) 8: 317. doi:10.1023/A:1008286921835

Abstract

I analyze the frame problem and its relation to other epistemological problems for artificial intelligence, such as the problem of induction, the qualification problem and the "general" AI problem. I dispute the claim that extensions to logic (default logic and circumscriptive logic) will ever offer a viable way out of the problem. In the discussion it will become clear that the original frame problem is really a fairy tale: as originally presented, and as tools for its solution are circumscribed by Pat Hayes, the problem is entertaining, but incapable of resolution. The solution to the frame problem becomes available, and even apparent, when we remove artificial restrictions on its treatment and understand the interrelation between the frame problem and the many other problems for artificial epistemology. I present the solution to the frame problem: an adequate theory and method for the machine induction of causal structure. Whereas this solution is clearly satisfactory in principle, and in practice real progress has been made in recent years in its application, its ultimate implementation is in prospect only for future generations of AI researchers.

artificial intelligenceframe problemcausal inductionmachine learninglogicismBayesian learningMML

Copyright information

© Kluwer Academic Publishers 1998

Authors and Affiliations

  • Kevin B. Korb
    • 1
  1. 1.School of Computer Science and Software Engineering, Monash University, ClaytonVictoriaAustralia