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w to represent, organize, and use much of commonsense knowledge, let alone build a machine that could learn all of that automatically on its own. As John McCarthy noted long ago: "in order for a program to be capable of learning something, it must first be able to represent that knowledge." There arc very few
Computing Research News, 14(5):1, 8. Kitano, Hiroaki; Asada, Minoru; Kuniyoshi, Yasuo; Noda, Itsuki; Osawa, Eiichi; and Matsubara, Hitoshi. 1997. RoboCup: A Challenge problem for AI. Al Magazine, 18(1):73-85. Laird, John; Newell, Allen; and Rosenbloom, Paul 1987. SOAR: An Architecture for General Int
uld easily meet our needs. Several participants mentioned the success of the RoboCup competitions (Kitano et al. 1997), but some concluded that the RoboCup domain, while appropriate for those interested in the problem of coordinating multiagent teams in a competitive scenario, was very different in char
w to represent, organize, and use much of commonsense knowledge, let alone build a machine that could learn all of that automatically on its own. As John McCarthy noted long ago: "in order for a program to be capable of learning something, it must first be able to represent that knowledge? There are very few
. Computing Research News, 14(5):1, 8. Kitano, }broad; Asada, Minoru; Kuniyoshi, Yasuo; Node, Itsuki; Osawa, Eiichi; and Matsubara, Hitoshi. 1997. RoboCup: A Challenge problem for Al. Al Magazine, 18(1):73-85. Laird, John; Newell, Allen; and Rosenbloom, Paul 1987. SOAR: An Architecture for General Int
uld easily meet our needs. Several participants mentioned the success of the RoboCup competitions (Kitano et al. 1997), but some concluded that the RoboCup domain, while appropriate for those interested in the problem of coordinating multiagent teams in a competitive scenario, was very different in char
w to represent, organize, and use much of commonsense knowledge, let alone build a machine that could learn all of that automatically on its own. As John McCarthy noted long ago: "in order for a program to be capable of learning something, it must first be able to represent that knowledge." There are very few
uld easily meet our needs. Several participants mentioned the success of the RoboCup competitions (Kitano et al. 1997), but some concluded that the RoboCup domain, while appropriate for those interested in the problem of coordinating multiagent teams in a competitive scenario, was very different in char
Computing Research News, 14(5): I, 8. Kitano, Hiroaki; Asada, Minoru; Kuniyoshi, Yasuo; Noda, Itsuki; Osawa, Eiichi; and Maisubara, Hitoshi. 1997. RoboCup: A Challenge problem for Al. AI Magazine, 18( I ):73-85. Laird, John; Newell, Allen; and Rosenbloom, Paul 1987. SOAR: An Architecture for General I
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