- author = "Richard Forsyth",
- title = "{BEAGLE} A {Darwinian} Approach to Pattern Recognition",
- journal = "Kybernetes",
- year = "1981",
- volume = "10",
- number = "3",
- pages = "159--166",
- keywords = "genetic algorithms, genetic programming, soccer foot ball pools",
-
URL = "
http://www.richardsandesforsyth.net/pubs/beagle81.pdf",
-
URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/kybernetes_forsyth.pdf",
-
DOI = "
doi:10.1108/eb005587",
- size = "8 pages",
- ISSN = "0368-492X",
-
abstract = "BEAGLE (Biological Evolutionary Algorithm Generating
Logical Expressions) is a computer package producing
decision-rules by induction from a database. It works
on the principle of naturalistic selection whereby
rules that fit the data badly are killed off and
replaced by mutations of better rules or by new rules
created by mating two better adapted rules. The rules
are Boolean expressions represented by tree
structures.
The software consists of two Pascal programs, HERB (Heuristic Evolutionary Rule Breeder) and LEAF (Logical Evaluator And Forecaster). HERB improves a given starting set of rules by running over several simulated generations, LEAF uses the rules to classify samples from a database where the correct membership may not be known. Preliminary test on three different databases have been carried out -- on hospital admissions (classing heart patients as deaths or survivors), on athletic physique (classing Olympic finalists as long-distance runners or sprinters) and on football results (categorising games into draws and non-draws)
It appears from the tests that the method works better than the standard discriminant analysis technique based on a linear discriminant function, and hence that this long-neglected approach warrants further investigation.",
- notes = "Copy from British Library May 1994",
