- author = "Tomonori Sugiyama and Takashi Kido and Masakazu Nakanishi",
- title = "Evolving Robot Strategy for Open ended Game",
- booktitle = "Progress in Evolutionary Computation",
- publisher = "Springer-Verlag",
- year = "1995",
- editor = "X. Yao",
- volume = "956",
- series = "Lecture Notes in Artificial Intelligence",
- pages = "225--235",
- address = "Heidelberg, Germany",
- keywords = "genetic algorithms, genetic programming, entertainment, Games",
- isbn13 = "978-3-540-60154-8",
-
DOI = "
doi:10.1007/3-540-60154-6_57",
- 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.",
- size = "11 pages",
-
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.
",
- bibsource = "DBLP, http://dblp.uni-trier.de",
- affiliation = "Keio University Department of Mathematics 3-14-1 Kanagawa, 223 Japan 3-14-1 Kanagawa, 223 Japan",
