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,[3] in which it is impossible to enumerate all the circumstances that may prevent a rowboat from performing its ordinary function:
- "[T]he successful use of a boat to cross a river requires, if the boat is a rowboat, that the oars and rowlocks be present and unbroken, and that they fit each other. Many other qualifications can be added, making the rules for using a rowboat almost impossible to apply, and yet anyone will still be able to think of additional requirements not yet stated."
See also
- Non-monotonic logic
- Circumscription
References
- ^ a b Reiter, Raymond (2001). Knowledge in Action: Logical Foundations for Specifying and Implementing Dynamical Systems. Cambridge, Massachusetts: The MIT Press. pp. 20–22. ISBN 9780262527002.
- ^ 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.
- ^ McCarthy, John (April 1980). "Circumscription: A form of non-monotonic reasoning" (PDF). Artificial Intelligence. 13 (1–2): 27–39. doi:10.1016/0004-3702(80)90011-9.
External links
- John McCarthy "Introduction: The Qualification Problem"