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Memory Limitations in Artificial Intelligence

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Algorithms for Memory Hierarchies

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2625))

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Abstract

Artificial Intelligence (AI) deals with structuring large amounts of data. As a very first example of an expert system [424], take the oldest known scientific treatise surviving from the ancient world, the surgical papyrus [146] of about 3000 BC. It discusses cases of injured men for whom a surgeon had no hope of saving and lay many years unnoticed until it was rediscovered and published for the New York Historical Society. The papyrus summarizes surgical observations of head wounds disclosing an inductive method for inference [281], with observations that were stated with title, examination, diagnosis, treatment, prognosis and glosses much in the sense that if a patient has this symptom, then he has this injury with this prognosis if this treatment is applied.

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© 2003 Springer-Verlag Berlin Heidelberg

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Edelkamp, S. (2003). Memory Limitations in Artificial Intelligence. In: Meyer, U., Sanders, P., Sibeyn, J. (eds) Algorithms for Memory Hierarchies. Lecture Notes in Computer Science, vol 2625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36574-5_11

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  • DOI: https://doi.org/10.1007/3-540-36574-5_11

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  • Print ISBN: 978-3-540-00883-5

  • Online ISBN: 978-3-540-36574-7

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