Physics problems cannot in general be solved by methods of deductive search in which the laws of physics are stated as axioms. In solving a real physics problem, it is necessary to treat the problem as a "nearly decomposable system" and to design a method of analysis which accounts for the salient factors in the problem while ignoring insignificant factors. The analysis method which is chosen will depend not only on the objects in the problem and their interactions, but also on the context, the accuracy needed, the factors which are known, the factors which are desired, and the magnitudes of certain quantities. Expert problem solvers are able to recognize many frequently occurring problem types and use analysis methods which solve such problems efficiently. Methods by which a program might learn such expertise through practice are discussed.
[1]
Herbert A. Simon,et al.
The Sciences of the Artificial
,
1970
.
[2]
Alan Bundy,et al.
Solving mechanics problems using meta-level inference
,
1979,
IJCAI 1979.
[3]
William A. Woods,et al.
Computational Linguistics Transition Network Grammars for Natural Language Analysis
,
2022
.
[4]
Dorothea P. Simon,et al.
Expert and Novice Performance in Solving Physics Problems
,
1980,
Science.
[5]
Jr. Gordon S. Novak,et al.
Computer Understanding of Physics Problems Stated in Natural Language
,
1976,
CL.
[6]
Gordon S. Novak.
Representations of Knowledge in a Program for Solving Physics Problems
,
1977,
IJCAI.