Evolving strategy for a probabilistic game of imperfect information using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8120
- @Article{Jaskowski:2008:GPEM,
-
author = "Wojciech Jaskowski and Krzysztof Krawiec and
Bartosz Wieloch",
-
title = "Evolving strategy for a probabilistic game of
imperfect information using genetic programming",
-
journal = "Genetic Programming and Evolvable Machines",
-
year = "2008",
-
volume = "9",
-
number = "4",
-
pages = "281--294",
-
month = dec,
-
keywords = "genetic algorithms, genetic programming",
-
ISSN = "1389-2576",
-
DOI = "doi:10.1007/s10710-008-9062-1",
-
abstract = "We provide the complete record of methodology that let
us evolve BrilliAnt, the winner of the Ant Wars
contest. Ant Wars contestants are virtual ants
collecting food on a grid board in the presence of a
competing ant. BrilliAnt has been evolved through a
competitive one-population coevolution using genetic
programming and fitness less selection. In this paper,
we detail the evolutionary setup that lead to
BrilliAnt's emergence, assess its direct and indirect
human-competitiveness, and describe the behavioural
patterns observed in its strategy.",
- }
Genetic Programming entries for
Wojciech Jaskowski
Krzysztof Krawiec
Bartosz Wieloch
Citations