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itecture by starting with a useful application like a search engine or conversational agent, and extending its common sense abilities over time. But Ben Kuipers worried that choosing too specific an application would lead to what happened to most previous projects-- someone discovers some set of ad hoc trick
ain, we can attempt to extend it—or it extend itself--to deal with a broader range of problems using a much broader array of commonsense knowledge. Large-Scale Architectures for Human-level Intelligence In the afternoon, we discussed large-scale architectures for machines with human-level intelligence and common sense. Marvin Minsky and Aaron Sloma
itecture by starting with a useful application like a search engine or conversational agent, and extending its common sense abilities over time. But Ben Kuipers worried that choosing too specific an application would lead to what happened to most previous projects— someone discovers some set of ad hoc tricks
ain, we can attempt to extend it--or it extend itself—to deal with a broader range of problems using a much broader array of commonsense knowledge. Large-Scale Architectures for Human-level Intelligence In the afternoon, we discussed large-scale architectures for machines with human-level intelligence and common sense. Marvin Minsky and Aaron Sloma
itecture by starting with a useful application like a search engine or conversational agent, and extending its common sense abilities over time. But Ben Kuipers worried that choosing too specific an application would lead to what happened to most previous projects-- someone discovers some set of ad hoc trick
in, we can attempt to extend it--or it extend itself--to deal with a broader range of problems using a much broader array of commonsense knowledge. Large-Scale Architectures for Human-level Intelligence In the afternoon, we discussed large-scale architectures for machines with human-level intelligence and common sense. Marvin Minsky and Aaron Sloma
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