Towards Human Competitive Driving of Scale Model of a Car

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@Article{Tanev:2007:sigevo,

• author = "Ivan Tanev and Katsunori Shimohara",
• title = "Towards Human Competitive Driving of Scale Model of a Car",
• journal = "SIGEVOlution",
• year = "2007",
• volume = "2",
• number = "4",
• pages = "14--26",
• month = "Winter",
• keywords = "genetic algorithms, genetic programming, XML/DOM",
• ISSN = "1931-8499",
• URL = "http://www.sigevolution.org/issues/pdf/SIGEVOlution200704.pdf",
• DOI = "doi:10.1145/1399962.1399964",
• size = "13 pages",
• abstract = "The success of the computer playing board games (e.g., chess [8], checkers [4], backgammon, tic-tac-toe, Noughts and Crosses) has long served as an indication of the progress in the field of artificial intelligence (AI). The expanding scope of applicability of AI, when the latter is employed to control the individual characters (agents) which are able to learn the environment, often including opponents, and to adopt an adaptive optimal (rather than a priori preprogrammed) playing tactics and strategy include soccer football [15], motocross and car racing [3, 21], etc. [4], [6]. we focus on the domain of car racing, and consider the problem of designing a driving agent, able to remotely control a scale model of a racing car, which runs in a human-competitive, fast and consistent way. Adhering to the commonly recognised criteria of the human competitiveness of automatically evolved solutions, we attempt to verify that the evolved driving agent hold its own or wins a regulated competition involving human contestants [11].",
• notes = "Published 25 June 2008",

}

Genetic Programming entries for Ivan T Tanev Katsunori Shimohara

Citations