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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
mans, such as solving integrals, they have difficulty performing commonsense tasks that are easy for humans, such as understanding stories. In this Technical Forum contribution, we discuss commonsense reasoning and what makes it difficult for computers. We contend that commonsense reasoning is too hard a proble
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
mans, such as solving integrals, they have difficulty performing commonsense tasks that are easy for humans, such as understanding stories. In this Technical Forum contribution, we discuss commonsense reasoning and what makes it difficult for computers. We contend that commonsense reasoning is too hard a proble
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
mans, such as solving integrals, they have difficulty performing commonsense tasks that are easy for humans, such as understanding stories. In this Technical Forum contribution, we discuss commonsense reasoning and what makes it difficult for computers. We contend that commonsense reasoning is too hard a proble
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