| Author: | Nault, B. Storey, V. |
| Title: | Using object concepts to match artificial intelligence techniques to problem types |
| Journal: | Information & Management
1998 : VOL. 34:1, p. 19-32 |
| Index terms: | INFORMATION MANAGEMENT ARTIFICIAL INTELLIGENCE |
| Language: | eng |
| Abstract: | Using object-concepts as a matching framework, the authors provide guidelines for identifying what types of problems are best served by which knowledge-representation technique. The authors find that production rules are best for hierarchical classification problems, because they support classification/instantiation of data. Frames are best for data retrieval and inference problems, because, using data abstraction, frames can operate on data within a frame. |
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