Artificial Intelligence and Scientific Method
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Oxford University Press (1996)
Artificial Intelligence and Scientific Method examines the remarkable advances made in the field of AI over the past twenty years, discussing their profound implications for philosophy. Taking a clear, non-technical approach, Donald Gillies shows how current views on scientific method are challenged by this recent research, and suggests a new framework for the study of logic. Finally, he draws on work by such seminal thinkers as Bacon, Gdel, Popper, Penrose, and Lucas, to address the hotly-contested question of whether computers might become intellectually superior to human beings.
|Keywords||Artificial intelligence Science|
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|ISBN(s)||9780198751595 0198751583 (alk. paper)|
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Citations of this work BETA
Donald A. Gillies (2001). Popper and Computer Induction. Bioessays 23 (9):859-860.
Douglas B. Kell & Stephen G. Oliver (2004). Here is the Evidence, Now What is the Hypothesis? The Complementary Roles of Inductive and Hypothesis‐Driven Science in the Post‐Genomic Era. Bioessays 26 (1):99-105.
Wolfgang Pietsch (2016). The Causal Nature of Modeling with Big Data. Philosophy and Technology 29 (2):137-171.
Darrell P. Rowbottom (2013). Empirical Evidence Claims Are a Priori. Synthese 190 (14):2821-2834.
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