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(12) story understanding systems. In the 1980s, knowledge structures for emotions, story• themes, and spatialitemporal maps were incorporated into BORIS. (13) AQUA (14) used case-based reasoning to retrieve and apply explanation patterns in order to answer questions raised by anomalies encountered wh
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
(12) story understanding systems. In the 1980s, knowledge structures for emotions, story themes, and spatial/temporal maps were incorporated into BORIS. (13) AQUA (14) used case-based reasoning to retrieve and apply explanation patterns in order to answer questions raised by anomalies encountered wh
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
(12) story understanding systems. In the 1980s. knowledge structures for emotions, story themes, and spatial/temporal maps were incorporated into BORIS. (13) AQUA (14) used case-based reasoning to retrieve and apply explanation patterns in order to answer questions raised by anomalies encountered wh
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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