Abstract | ||
---|---|---|
Several fast pattern matching algorithms have been proposed to improve the inference speed of production systems. In almost all of these algorithms, conditions in rules are represented using a dataflow network and working memory elements propagates this network as tokens. These algorithms are effective, but excessive constant testing is unavoidable when the working memory must be frequently updated. |
Year | DOI | Venue |
---|---|---|
1996 | 10.1007/3-540-61532-6_55 | PRICAI |
Keywords | Field | DocType |
production systems,fast pattern-matching algorithm,matching candidates,pattern matching,production system,working memory | String searching algorithm,Pattern recognition,Computer science,Inference,Working memory,Dataflow,Artificial intelligence,Pattern matching,Machine learning | Conference |
ISBN | Citations | PageRank |
3-540-61532-6 | 1 | 0.38 |
References | Authors | |
1 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mitsunori Matsushita | 1 | 138 | 29.70 |
Motohide Umano | 2 | 183 | 28.91 |
Itsuo Hatono | 3 | 133 | 18.38 |
Hiroyuki Tamura | 4 | 176 | 30.79 |