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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
ke sense to try to simplify things. But today, we are still far from an architectural design that explains even a tiny fraction of human cognition. Aaron Sloman's Cognition and Affect project has explored a space of architectures proposed as models for human minds; a sketch of Sloman's H-CogAff model is shown
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
ke sense to try to simplify things. But today, we are still far from an architectural design that explains even a tiny fraction of human cognition. Aaron Sloman's Cognition and Affect project has explored a space of architectures proposed as models for human minds; a sketch of Sloman's H-CogAff model is shown
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
ke sense to try to simplify things. But today, we are still far from an architectural design that explains even a tiny fraction of human cognition. Aaron Sloman's Cognition and Affect project has explored a space of architectures proposed as models for human minds; a sketch of Sloman's H-CogAff model is shown
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