Skip to main content
Log in

A.I., Scientific Discovery and Realism

  • Published:
Minds and Machines Aims and scope Submit manuscript

Abstract

Epistemologists have debated at length whether scientific discovery is a rational and logical process. If it is, according to the Artificial Intelligence hypothesis, it should be possible to write computer programs able to discover laws or theories; and if such programs were written, this would definitely prove the existence of a logic of discovery. Attempts in this direction, however, have been unsuccessful: the programs written by Simon's group, indeed, infer famous laws of physics and chemistry; but having found no new law, they cannot properly be considered discovery machines. The programs written in the ‘Turing tradition’, instead, produced new and useful empirical generalization, but no theoretical discovery, thus failing to prove the logical character of the most significant kind of discoveries. A new cognitivist and connectionist approach by Holland, Holyoak, Nisbett and Thagard, looks more promising. Reflection on their proposals helps to understand the complex character of discovery processes, the abandonment of belief in the logic of discovery by logical positivists, and the necessity of a realist interpretation of scientific research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Abbott, E. (1953), Flatland, New York: Dover Press.

    Google Scholar 

  • Achinstein, P. (1980), ‘Discovery and Rule-Books’, in T. Nickles, ed., Scientific Discovery, Logic, and Rationality, Dordrecht: Reidel, pp. 117–132.

    Google Scholar 

  • Aronson, J.L. (1984), A Realist Philosophy of Science, New York: The Macmillan Press.

    Google Scholar 

  • Bacon, F. (1620), Novum Organum.

  • Braithwaite, R.B. (1953), Scientific Explanation: A Study of the Function of Theory, Probability and Law in Science, Cambridge, MA: Cambridge University Press.

    Google Scholar 

  • Braithwaite, R.B. (1962), ‘Models in The Empirical Sciences’, in E. Nagel, ed., Logic, Methodology and Philosophy of Science, Stanford, CA: Stanford University Press, pp. 224–231.

    Google Scholar 

  • Campbell, N.R. (19521921), What is Science? New York: Dover.

    Google Scholar 

  • Campbell, N.R. (19571919), Foundations of Science. The Philosophy of Theory and Experiment, New York: Dover.

    Google Scholar 

  • Curd, M. (1980), ‘Logic of Discovery: Three Approaches’, in T. Nickles ed., Scientific Discovery, Logic, and Rationality, Dordrecht: Reidel, pp. 201–219.

    Google Scholar 

  • Fann, K.T. (1970), Peirce's Theory of Abduction, The Hague: Nijhoff.

    Google Scholar 

  • Gentner, D, Holyoak, K.J. and Kokinov, B.N. (2001), The Analogical Mind: Perspectives from Cognitive Science, Cambridge, MA: MIT Press.

    Google Scholar 

  • Gillies, D. (1996), Artificial Intelligence and Scientific Method, Oxford: Oxford University Press.

    Google Scholar 

  • Hacking, I. (1983), Representing and Intervening, Cambridge, MA: Cambridge University Press.

    Google Scholar 

  • Hanson, N.R., (1958), Patterns of Discovery. An Inquiry into the Conceptual Foundations of Science, Cambridge, MA: Cambridge University Press.

    Google Scholar 

  • Hempel, C. (1965), Aspects of Scientific Explanation and Other Essays in the Philosophy of Science, New York: Free Press.

    Google Scholar 

  • Hempel, C. (1966), Philosophy of the Natural Sciences, Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Holland, J., Holyoak, K., Nisbett, R. and Thagard, P. (1986), Induction. Processes of Inference, Learning and Discovery, Cambridge, MA, London: MIT Press.

    Google Scholar 

  • Holyoak, K.J. and Barnden, J.A., eds. (1994), Analogical Connections, Norwood: Ablex.

    Google Scholar 

  • Holyoak, K. and Thagard, P. (1995), Mental Leaps, Cambridge, MA: MIT Press.

    Google Scholar 

  • Koyré, A. (1961), La révolution astronomique, Paris: Herman.

    Google Scholar 

  • Kuhn, T. (1962), The Structure of Scientific Revolutions, Chicago: The University of Chicago Press.

    Google Scholar 

  • Kuhn, T. (1970), ‘Reflections on my Critics’, in I. Lakatos and A. Musgrave, eds., Criticism and the Growth of Knowledge, Cambridge, MA: Cambridge University Press.

    Google Scholar 

  • Lakatos, I. (1970), ‘Falsification and the Methodology of Scientific Research Programs’, in I. Lakatos and A. Musgrave, eds., Criticism and the Growth of Knowledge, Cambridge, MA: Cambridge University Press.

    Google Scholar 

  • Lakatos, I. and Musgrave, A., eds. (1970), Criticism and the Growth of Knowledge, Cambridge, MA: Cambridge University Press.

    Google Scholar 

  • Langley, P., Simon, H., Bradshaw, G. and Zytkow, J. (1987), Scientific Discovery. Computational Explorations of Creative Processes, Cambridge, MA, London: MIT Press.

    Google Scholar 

  • Laudan, L. (1980), ‘Why Was the Logic of Discovery Abandoned?’, in T. Nickles, ed., Scientific Discovery, Logic, and Rationality, Dordrecht: Reidel, pp. 173–183.

    Google Scholar 

  • Magnani, L., Nersessian, N.J. and Thagard, P., eds. (1999), Model-Based Reasoning in Scientific Discovery, New York: Kluwer Academic Publishers/Plenum Publishers.

    Google Scholar 

  • Mill, J.S. (1843), A System of Logic, Ratiocinative and Inductive, Being a Connected View of the Principles of Evidence and Methods of Investigation, London: Parker.

    Google Scholar 

  • Molière, (Poquelin, J.B.) (1673), Le malade imaginaire.

  • Newton, I. (1687), Naturalis Philosophiae Principia Mathematica.

  • Nickles, T. (1980a), ‘Introductory Essay’, in T. Nickles, ed., Scientific Discovery, Logic, and Rationality, Dordrecht: Reidel, pp. 1–60.

    Google Scholar 

  • Nickles, T., ed. (1980b), Scientific Discovery, Logic, and Rationality, Dordrecht: Reidel.

  • Pasquinelli, A. (1964), Nuovi principi di epistemologia, Milano: Feltrinelli.

    Google Scholar 

  • Peirce, C.S. (1931–35), Collected Papers of Charles Sanders Peirce, I–VI, in C. Harshorne and P. Weiss, eds., Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Peirce, C.S. (1958), Collected Papers of Charles Sanders Peirce, VII–VIII, in A. Burks, ed., Cambridge, MA: Harvard University Press

    Google Scholar 

  • Pera, M. (1982), Apologia del Metodo, Bari: Laterza.

    Google Scholar 

  • Pera, M. (1991), Scienza e retorica, Bari: Laterza.

    Google Scholar 

  • Putnam, H. (1962), ‘The Analytic and the Synthetic’, in H. Feigl and G. Maxwell, eds., Minnesota Studies in The Philosophy of Science III, Minneapolis: University of Minnesota Press, pp. 350–397.

    Google Scholar 

  • Reichenbach, H. (1961), Experience and Prediction: An Analysis of the Foundations of Science, Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Searle, J. (1980), ‘Minds, Brains and Programs’, Behavioral and Brain Sciences III, pp. 417–424.

    Google Scholar 

  • Thagard, P. (1992), Conceptual Revolutions, Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Thagard, P. (1996), Mind. Introduction to Cognitive Science, Cambridge, MA: MIT Press.

    Google Scholar 

  • Thagard, P. (1998), Computational Philosophy of Science, Cambridge, MA: MIT Press.

    Google Scholar 

  • Turing, A.M. (1969), ‘Intelligent Machinery’, Report National Physics Laboratory, in B. Meltzer and D. Michie, eds. Machine Intelligence V, Edinburgh: Edinburgh University Press, pp. 3–23, now in D.C. Ince, ed., (1992), Collected Works of A.M. Turing: Mechanical Intelligence, Amsterdam: North Holland, pp. 107–127.

    Google Scholar 

  • Van Fraassen, B. (1980), The Scientific Image, Oxford: Clarendon Press.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Alai, M. A.I., Scientific Discovery and Realism. Minds and Machines 14, 21–42 (2004). https://doi.org/10.1023/B:MIND.0000005134.93703.88

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/B:MIND.0000005134.93703.88

Keywords

Navigation