Abstract
In this book we have discussed the issue of uncertainty, how it emerged and how it has been addressed in AI. For more than three decades, AI has been concerned by a debate on the way in which uncertainty should be modeled and handled in order to enable machines to make decisions and act in spite of uncertainty. Probability, a framework employed for centuries in several scientific fields for handling uncertainty, was considered as inadequate by a number of AI researchers that consequently developed alternative formalisms.
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© 2013 Springer-Verlag Berlin Heidelberg
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Piscopo, C. (2013). Conclusion. In: The Metaphysical Nature of the Non-adequacy Claim. Studies in Computational Intelligence, vol 464. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35359-8_6
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DOI: https://doi.org/10.1007/978-3-642-35359-8_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35358-1
Online ISBN: 978-3-642-35359-8
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