Problem solving in the real world is a more general issue than what is currently understood under this notion in the majority of today's AI publications. Particularly, finding an appropriate formal representation of a given problem in the real world is very difficult even for humans. We think that this is reminiscent of the core difficulty of knowledge acquisition for knowledge acquisition for knowledge-based systems, i.e. modeling the real world. If a machine is to understand problem statements in natural language, much commonsense knowledge must be available. However, even if it were available, it would be very difficult to retrieve those chunks of knowledge necessary for the problem at hand. We propose a view of presenting a problem to a problem solver as an act of communication, which may provide hints for finding such knowledge.
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Problems, communications, and common sense
Lercher, Lorenz; Kaindl, Hermann
Follow ACM SIGART Bulletin
, Volume 3 (2)
Association for Computing Machinery – Apr 1, 1992
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