Cultural Transmission of Information in Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{spector:1996:ctiGP,
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author = "Lee Spector and Sean Luke",
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title = "Cultural Transmission of Information in Genetic
Programming",
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booktitle = "Genetic Programming 1996: Proceedings of the First
Annual Conference",
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editor = "John R. Koza and David E. Goldberg and
David B. Fogel and Rick L. Riolo",
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year = "1996",
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month = "28--31 " # jul,
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keywords = "genetic algorithms, genetic programming",
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pages = "209--214",
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address = "Stanford University, CA, USA",
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publisher = "MIT Press",
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URL = "http://www.cs.gmu.edu/~sean/papers/culture-gp96.pdf",
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URL = "http://www.cs.gmu.edu/~sean/papers/culture-gp96.ps.gz",
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URL = "http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap25.pdf",
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URL = "http://cognet.mit.edu/library/books/view?isbn=0262611279",
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size = "9 pages",
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abstract = "This paper shows how the performance of a genetic
programming system can be improved through the addition
of mechanisms for non-genetic transmission of
information between individuals (culture). Teller has
previously shown how genetic programming systems can be
enhanced through the addition of memory mechanisms for
individual programs [Teller 1994]; in this paper we
show how Teller's memory mechanism can be changed to
allow for communication between individuals within and
across generations. We show the effects of indexed
memory and culture on the performance of a genetic
programming system on a symbolic regression problem, on
Koza's Lawnmower problem, and on Wumpus world agent
problems. We show that culture can reduce the
computational effort required to solve all of these
problems. We conclude with a discussion of possible
improvements.",
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notes = "GP-96 Discussion of this paper appeared as part of the
Scientific American (Oct. 96) column {"}Computing:
Programming with Primordial Ooze{"} (p. 50).",
- }
Genetic Programming entries for
Lee Spector
Sean Luke
Citations