Heuristics: intelligent search strategies for computer problem solving
Heuristics: intelligent search strategies for computer problem solving
Cyc: toward programs with common sense
Communications of the ACM
Representations of commonsense knowledge
Representations of commonsense knowledge
Naive Semantics for Natural Language Understanding
Naive Semantics for Natural Language Understanding
Formal Theories of the Commonsense World
Formal Theories of the Commonsense World
Automated Knowledge Acquisition for Strategic Knowledge
Machine Learning
| Hi-index | 0.00 |
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.