Abstract
Much artificial intelligence research is based on the construction of large impressive-looking programs, the theoretical content of which may not always be clearly stated. This is unproductive from the point of view of building a stable base for further research. We illustrate this problem by referring to Lenat's am program, in which the techniques employed are somewhat obscure in spite of the impressive performance. © 1984.
Original language | English |
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Pages (from-to) | 249-268 |
Number of pages | 20 |
Journal | Artificial Intelligence |
Volume | 23 |
Issue number | 3 |
DOIs | |
Publication status | Published - Aug 1984 |