This is a preview of subscription content, log in via an institution to check access.
References
Bacon, Francis (1620), The New Organon, New York: Bobbs-Merrill, 1960.
Buchanan, Bruce (1985), 'Steps Toward Mechanizing Discovery', in Kenneth F. Schaffner, (ed.), Logic of Discovery and Diagnosis in Medicine, Berkeley: University of California Press, pp. 94-114.
Darden, Lindley (1987), 'Viewing the History of Science as Compiled Hindsight', AI Magazine, 8(2), pp. 33-41.
Darden, Lindley (1990), 'Diagnosing and Fixing Faults in Theories', in Jeff Shrager and Pat Langley, (eds.), Computational Models of Scientific Discovery and Theory Formation, San Mateo, CA: Morgan Kaufmann, pp. 319-346.
Darden, Lindley (1991), Theory Change in Science: Strategies from Mendelian Genetics, NewYork: Oxford University Press.
Darden, Lindley (1997), 'Recent Work in Computational Scientific Discovery', in Michael Shafto and Pat Langley, eds., Proceedings of the 19th Annual Conference of the Cognitive Science Society (Stanford University), Mahwah, NJ: Lawrence Erlbaum, pp. 161-166.
Darden, Lindley (1998), 'Anomaly-Driven Theory Redesign: Computational Philosophy of Science Experiments', in Terrell Ward Bynum and James Moor, (eds.), The Digital Phoenix: How Computers are Changing Philosophy, Oxford: Blackwell, pp. 62-78.
Holyoak, Keith J. and Thagard, Paul (1995), Mental Leaps: Analogy in Creative Thought, Cambridge, MA: MIT Press.
Karp, Peter (1990), 'Hypothesis Formation as Design', in Jeff Shrager and Pat Langley, (eds.), Computational Models of Scientific Discovery and Theory Formation, San Mateo, CA: Morgan Kaufmann, pp. 275-317.
Langley, Pat (1996), Elements of Machine Learning, San Francisco: Morgan Kaufmann.
Langley, P., Simon, H., Bradshaw, G.L. and Zytkow, J.M. (1987), Scientific Discovery: Computational Explorations of the Creative Process, Cambridge, MA: MIT Press.
Mitchell, Tom M. (1997), Machine Learning, New York: McGraw-Hill.
Muggleton, Stephen, and Feng, C. (1992), 'Efficient Induction of Logic Programs', in Stephen Muggleton, (ed.), Inductive Logic Programming, London: Academic Press.
Popper, Karl (1968), Conjectures and Refutations: The Growth of Scientific Knowledge, New York: Harper Torchbooks.
Provost, Foster John and Buchanan, Bruce (1995), 'Inductive Policy: The Pragmatics of Bias Selection', Machine Learning, 20, pp. 35-61.
Quinlan, J. Ross (1986), 'Induction of Decision Trees', Machine Learning 1, pp. 81-106.
Shrager, Jeff and Langley, Pat, (eds.) (1990), Computational Models of Scientific Discovery and Theory Formation, San Mateo, CA: Morgan Kaufmann.
Thagard, Paul (1988), Computational Philosophy of Science, Cambridge, MA: MIT Press.
Torasso, Pietro and Console, Luca (1989), Diagnostic Problem Solving: Combining Heuristic, Approximate, and Causal Reasoning, New York: Van Nostrand Reinhold.
Rights and permissions
About this article
Cite this article
Donald Gillies, Artificial Intelligence and Scientific Method, Oxford: Oxford University Press, 1996, xiii + 176 pp., $65.00 (cloth), ISBN 0-19-875158-3, $21.95 (paper), ISBN 0-19-875159-1.. Minds and Machines 10, 301–304 (2000). https://doi.org/10.1023/A:1017162829874
Issue Date:
DOI: https://doi.org/10.1023/A:1017162829874