Qualification problem
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In philosophy and AI (especially, knowledge-based systems), the qualification problem is concerned with the impossibility of listing all the preconditions required for a real-world action to have its intended effect.[1][2] It might be posed as how to deal with the things that prevent me from achieving my intended result. It is strongly connected to, and opposite the ramification side of, the frame problem.[1] John McCarthy gives the following motivating example, in which it is impossible to enumerate all the circumstances that may prevent a robot from performing its ordinary function:
See also
References
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- ^ a b Page Module:Citation/CS1/styles.css has no content.Reiter, Raymond (2001). Knowledge in Action: Logical Foundations for Specifying and Implementing Dynamical Systems. Cambridge, Massachusetts: The MIT Press. pp. 20–22. ISBN 9780262527002.
- ^ Page Module:Citation/CS1/styles.css has no content.Thielscher, Michael (September 2001). "The Qualification Problem: A solution to the problem of anomalous models". Artificial Intelligence. 131 (1–2): 1–37. doi:10.1016/S0004-3702(01)00131-X.
External links
- John McCarthy "Introduction: The Qualification Problem"
