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Qualification problem

The topic of Qualification problem has generated a great deal of interest and controversy in recent times. As the world moves towards an increasingly technological and globalized future, Qualification problem has become a central element in people's daily lives. From its impacts on society to its implications on the economy, Qualification problem continues to be the subject of debate and discussion around the world. In this article, we will explore in depth the different aspects of Qualification problem, from its evolution throughout history to its role in the world today. In addition, we will analyze the opinions and positions of different experts on the subject, with the aim of providing a broad and objective vision of Qualification problem and its impact on current society.

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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:

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.[3]

See also

References

  1. ^ 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.
  2. ^ 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.
  3. ^ 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.