Qualification problem

From Wikipedia, the free encyclopedia

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. 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.

From an operational sense, measurement and algorithmic theory played heavily in computational success of disciplines, such as KBE. By judicious application of insights from Weierstrass, situations that could be labeled as Zeno-like can be avoided if numerics stability can be maintained. Where the focus is beyond numerics, many situations are still problematic, though, and demand inordinate attention.


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