Qualification Problem: Fundamentals and Applications
À propos de cet e-book
In artificial intelligence and philosophy, the qualifying problem refers to the impossibility of enumerating all of the preconditions that must be met for a real-world action to have the effect it was intended for it to have. The question could be phrased as one of how to handle the obstacles that stand in the way of my getting the result I want. It has a strong connection to the frame problem and stands in contrast to the ramification side of that problem. The following is a motivating example provided by John McCarthy, in which it is hard to enumerate all of the events that may prevent a robot from completing its usual function:"[T]he use of a boat to successfully cross a river needs, if the boat is a rowboat, that the oars and rowlocks be present and unbroken, and that they fit each other. If the boat is not a rowboat, then the use of the boat will not be successful. Anyone will be able to think of other needs that have not yet been stated, despite the fact that the rules for operating a rowboat can have many other conditions added to them, which makes it practically difficult to implement the regulations.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Qualification Problem
Chapter 2: John McCarthy (computer scientist)
Chapter 3: Logic Programming
Chapter 4: Symbolic Artificial Intelligence
Chapter 5: Commonsense Reasoning
Chapter 6: Cyc
Chapter 7: Douglas Lenat
Chapter 8: Commonsense Knowledge (Artificial Intelligence)
Chapter 9: Belief Revision
Chapter 10: Frame Problem
(II) Answering the public top questions about qualification problem.
(III) Real world examples for the usage of qualification problem in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of qualification problem' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of qualification problem.
