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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
g reasoning in each of these realms. He suggested that we develop our architectures within a physically realistic model world resembling the classic Blocks World, but where the world was populated by several simulated beings, and thus emphasizing social problems in addition to physical ones. These beings wou
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
g reasoning in each of these realms. He suggested that we develop our architectures within a physically realistic model world resembling the classic Blocks World, but where the world was populated by several simulated beings, and thus emphasizing social problems in addition to physical ones. These beings wou
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
g reasoning in each of these realms. He suggested that we develop our architectures within a physically realistic model world resembling the classic Blocks World, but where the world was populated by several simulated beings, and thus emphasizing social problems in addition to physical ones. These beings wou
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