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What Went Wrong and Why: Lessons from AI Research and Applications
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What Went Wrong and Why: Lessons from AI Research and Applications
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Abstract:
Some systems are strange, near-bugs that turn out upon deeper analysis to be absolutely fundamental. This paper develops the notion of strangeness with respect to one class of AI system, cognitive architectures. It describes the detection of strange new architectures and their synthesis with conventional architectures. It also inventories strategies for the deliberate design of strange new architectures. Claims are justified by examples drawn from the history of (cognitive) science.
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What Went Wrong and Why: Lessons from AI Research and Applications