The Internal Reinforcement of Evolving Algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InCollection{teller:1999:aigp3,

• author = "Astro Teller",
• title = "The Internal Reinforcement of Evolving Algorithms",
• booktitle = "Advances in Genetic Programming 3",
• publisher = "MIT Press",
• year = "1999",
• editor = "Lee Spector and William B. Langdon and Una-May O'Reilly and Peter J. Angeline",
• chapter = "14",
• pages = "325--354",
• address = "Cambridge, MA, USA",
• month = jun,
• keywords = "genetic algorithms, genetic programming",
• ISBN = "0-262-19423-6",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/aigp3/ch14.pdf",
• language = "en",
• oai = "oai:CiteSeerXPSU:10.1.1.143.371",
• rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.371",
• DOI = "doi:10.7551/mitpress/1110.003.0019",
• size = "30 pages",
• abstract = "There is a fundamental problem with genetic programming as it is currently practised, the genetic recombination operators that drive the learning process act at random, without regard to how the internal components of the programs to be recombined behaved during training. This research introduces a method of program transformations that is principled, based on the program's internal behaviour, and significantly more likely than random local sampling to improve the transformed programs' fitness values. The contribution of our research is a detailed approach by which principled credit-blame assignment can be brought to GP and that credit-blame assignment can be focused to improve that same evolutionary process. This principled credit-blame assignment is done through a new program representation called neural programming and applied through a set of principled processes called, collectively, internal reinforcement in neural programming. This internal reinforcement of evolving programs is presented here as a first step toward the desired gradient descent in program space.",
• notes = "AiGP3 See http://cognet.mit.edu",

}

Genetic Programming entries for Astro Teller

Citations