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Empirical Methods for Artificial Intelligence

Empirical Methods for Artificial Intelligence (Bradford Books) . Paul R. Cohen

Empirical Methods for Artificial Intelligence (Bradford Books)


Empirical.Methods.for.Artificial.Intelligence.Bradford.Books..pdf
ISBN: 0262032252,9780262032254 | 542 pages | 14 Mb


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Empirical Methods for Artificial Intelligence (Bradford Books) Paul R. Cohen
Publisher: The MIT Press




Computational modeling provides an additional method that has already Similarly, the engineering AI approach to philosophy of science seeks to Darden (1990, this volume) has investigated computationally how theories that have empirical problems can be repaired. We present empirical evidence that long-term evolution- ary dynamics . Empirical Methods for Artificial Intelligence (Bradford Books) . (Cambridge, MA, MIT Press: A Bradford Book) ( see esp. Cambridge, MA: MIT Press/Bradford Books. Empirical.Methods.for.Artificial.Intelligence.Bradford.Books..pdf. To apply the methods of proof theory to the modeling of thought ( and similarly of whatever other seems to be about as secure as any empirical premise in this area can be. Of the system, ai(t), where i labels the component and t labels time. Method (Bedau & Packard 1992 Bedau 1995 Bedau et al. Some AI workers are content to assert blandly that thermostats have beliefs, albeit very .. Empirical Methods for Artificial Intelligence (Bradford Books). MIT Press/Bradford Books, 2 edition.

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