The frame problem: An AI fairy tale [Book Review]
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Minds and Machines 8 (3):317-351 (1998)
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.
|Keywords||Artificial Intelligence Induction Learning Machine Science|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
Pierre De Loor, Kristen Manac’H. & Jacques Tisseau (2009). Enaction-Based Artificial Intelligence: Toward Co-Evolution with Humans in the Loop. [REVIEW] Minds and Machines 19 (3):319-343.
Similar books and articles
F. Bergadano (1993). Machine Learning and the Foundations of Inductive Inference. Minds and Machines 3 (1):31-51.
Eric Lormand (1990). Framing the Frame Problem. Synthese 82 (3):353-74.
K. M. Ford & Z. W. Pylyshyn (eds.) (1996). The Robot's Dilemma Revisited: The Frame Problem in Artificial Intelligence. Ablex.
Shane Legg & Marcus Hutter (2007). Universal Intelligence: A Definition of Machine Intelligence. Minds and Machines 17 (4):391-444.
L. Crockett (1994). The Turing Test and the Frame Problem: AI's Mistaken Understanding of Intelligence. Ablex.
Scott Hendricks (2006). The Frame Problem and Theories of Belief. Philosophical Studies 129 (2):317-33.
John L. Pollock (1997). Reasoning About Change and Persistence: A Solution to the Frame Problem. Noûs 31 (2):143-169.
Zenon Pylyshyn (1996). The Frame Problem Blues. Once More, with Feeling. In K. M. Ford & Z. W. Pylyshyn (eds.), The Robot's Dilemma Revisited: The Frame Problem in Artificial Intelligence. Ablex
David McFarland (1992). Animals as Cost-Based Robots. International Studies in the Philosophy of Science 6 (2):133 – 153.
Mark Sprevak (2005). The Frame Problem and the Treatment of Prediction. In L. Magnani & R. Dossena (eds.), Computing, Philosophy and Cognition. 4--349.
Added to index2009-01-28
Total downloads98 ( #38,578 of 1,789,736 )
Recent downloads (6 months)10 ( #82,722 of 1,789,736 )
How can I increase my downloads?