Evolution of a subsumption architecture that performs a wall following task for an autonomous mobile robot via genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InCollection{Koza:1994:wallGP,
-
author = "John R. Koza",
-
title = "Evolution of a subsumption architecture that performs
a wall following task for an autonomous mobile robot
via genetic programming",
-
booktitle = "Computational Learning Theory and Natural Learning
Systems",
-
publisher = "MIT Press",
-
year = "1994",
-
editor = "Stephen Jose Hanson and Thomas Petsche and
Ronald L. Rivest and Michael Kearns",
-
volume = "2",
-
pages = "321--346",
-
address = "Cambridge, MA, USA",
-
month = jun,
-
ISBN = "0-262-58133-7",
-
keywords = "genetic algorithms, genetic programming",
-
URL = "http://www.genetic-programming.com/jkpdf/cltnls1994.pdf",
-
URL = "http://cognet.mit.edu/book/computational-learning-theory-and-natural-learning-systems-volume-2#chapter19",
-
abstract = "The goal in automatic programming is to get a computer
to perform a task by telling it what needs to be done,
rather than by explicitly programming it. This paper
considers the task of automatically generating a
computer program to enable an autonomous mobile robot
to perform the task of following the wall of an
irregular shaped room. A human programmer has written
such a program in the style of the subsumption
architecture. The solution produced by genetic
programming emerges as a result of Darwinian natural
selection and genetic crossover (sexual recombination)
in a population of computer programs. This evolutionary
process is driven by a fitness measure which
communicates the nature of the task to the computer.",
- }
Genetic Programming entries for
John Koza
Citations