The evolutionary induction of subroutines

Created by W.Langdon from gp-bibliography.bib Revision:1.8154

@InProceedings{Angeline:1992:EIS,

• author = "Peter J. Angeline and Jordan B. Pollack",
• title = "The evolutionary induction of subroutines",
• booktitle = "Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society",
• year = "1992",
• pages = "236--241",
• address = "Bloomington, Indiana, USA",
• publisher = "Lawrence Erlbaum",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.demo.cs.brandeis.edu/papers/glib92.pdf",
• URL = "http://www.demo.cs.brandeis.edu/papers/glib92.ps.gz",
• URL = "http://www.natural-selection.com/Library/1992/cogsci92.ps.Z",
• abstract = "we describe a genetic algorithm capable of evolving large programs by exploiting two new genetic operators which construct and deconstruct parameterized subroutines. These subroutines protect useful partial solutions and help to solve the scaling problem for a class of genetic problem solving methods. We demonstrate that our algorithm acquires useful subroutines by evolving a modular program from scratch to play and win at Tic-Tac-Toe against a flawed expert. This work also serves to amplify our previous note (Pollack, 1991) that a phase transition is the principle behind induction in dynamical cognitive models.",
• notes = "GLiB is an emergent method for discovering task-specific modular decompositions in genetic programs. At least this is how I used to talk about it. I know consider this an individual-level self-adaptive method for forming decompositions in genetic programs.",

}

Genetic Programming entries for Peter John Angeline Jordan B Pollack

Citations