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- Oct 2024
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legacy.cs.indiana.edu legacy.cs.indiana.edu
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Heuristic programs are de-veloped by a trial and error process in which a newrule is added whenever one finds a case that is nothandled by the old rules. This approach usually yieldsa program whose behavior is poorly understood andhard to predict. AI-Z researchers accept this evolution-ary approach to programming as normal and proper. Itrust such programs even less than I trust unstructuredconventional programs. One never knows when theprogram will fail.
Since 1985, AI has vastly improved in terms of reliability and understanding of program behavior. Modern AI systems use complex machine learning models rather than simple rule-based heuristics. Techniques like neural networks and reinforcement learning have made it possible for AI to handle tasks like image recognition, speech processing, and even medical diagnosis with much greater accuracy and predictability than the heuristic-based AI of the 1980s.
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