- author = "Richard Dallaway",
- title = "Genetic programming and cognitive models",
- institution = "School of Cognitive \& Computing Sciences, University of Sussex,",
- year = "1993",
- number = "CSRP 300",
- address = "Brighton, UK",
- note = "In: Brook \& Arvanitis, eds., 1993 The Sixth White House Papers: Graduate Research in the Cognitive \& Computing Sciences at Sussex",
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://www.dallaway.com/acad/evolution/evocog.html",
- size = "7 pages",
- abstract = "Genetic programming (GP) is a general purpose method for evolving symbolic computer programs (e.g. Lisp code). Concepts from genetic algorithms are used to evolve a population of initially random programs so that they are able to solve the problem at hand. This paper describes genetic programming and discuss the usefulness of the method for building cognitive models. Although it appears that an arbitrary fit to the training examples will be evolved, it is shown that GP can be constrained to produce small, general programs.",
-
notes = "symbolic regression of 2.719x^2 + 3.14161x from 20
random points, parsimony pressure used
Broken Sep 2018 http://cogslib.cogs.susx.ac.uk/csr_abs.php?type=csrp&num=300&id=7657",
