Evolving Robot Strategy for Open ended Game
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InCollection{Sugiyama:1995:ersoeg,
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author = "Tomonori Sugiyama and Takashi Kido and
Masakazu Nakanishi",
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title = "Evolving Robot Strategy for Open ended Game",
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booktitle = "Progress in Evolutionary Computation",
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publisher = "Springer-Verlag",
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year = "1995",
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editor = "X. Yao",
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volume = "956",
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series = "Lecture Notes in Artificial Intelligence",
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pages = "225--235",
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address = "Heidelberg, Germany",
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keywords = "genetic algorithms, genetic programming,
entertainment, Games",
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isbn13 = "978-3-540-60154-8",
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DOI = "doi:10.1007/3-540-60154-6_57",
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abstract = "A good entertainment must be interesting. This paper
asserts that interesting games have unpredictability.
Recent technologies in artificial life give us new
possibility of unpredictability, such as the evolution
of strategies of opponents. This paper seeks this
possibility in a robot battle game using genetic
algorithm for the evolution of strategies. We made a
robot battle game called X-Window Robot Battle (XRB), a
fighting game of two robots. Each robot's strategy is
given by assembly language codes, and these codes are
created by a user or a computer. We use genetic
algorithms (GA) to evolve a robot's codes made by
computer and make it possible for the robot to acquire
a useful strategy without being explicitly programmed.
The change of strategy of an opponent makes the game
more unpredictable and interesting, thus we can enjoy
the game. We believe that our attempt contributes to
the entertainment industries.",
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size = "11 pages",
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notes = "Robot battle game X-Window Robot Battle XRB. Is is it
a GP? Robot's game strategy given by genes that are
evolved using a GP plus tree based crossover.
",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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affiliation = "Keio University Department of Mathematics 3-14-1
Kanagawa, 223 Japan 3-14-1 Kanagawa, 223 Japan",
- }
Genetic Programming entries for
Tomonori Sugiyama
Takashi Kido
Masakazu Nakanishi
Citations