Skip to main content

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4660))

Abstract

This chapter introduces the field of computational scientific discovery and provides a brief overview thereof. We first try to be more specific about what scientific discovery is and also place it in the broader context of the scientific enterprise. We discuss the components of scientific behavior, that is, the knowledge structures that arise in science and the processes that manipulate them. We give a brief historical review of research in computational scientific discovery and discuss the lessons learned, especially in relation to work in data mining that has recently received substantial attention. Finally, we discuss the contents of the book and how it fits in the overall framework of computational scientific discovery.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  • Achinstein, P. (ed.): Science rules: A historical introduction to scientific methods. The Johns Hopkins University Press, Baltimore (2004)

    Google Scholar 

  • Bacon, F.: The new organon and related writings. Liberal Arts Press, New York (1620/1960)

    Google Scholar 

  • Darden, L.: Reasoning in biological discoveries. Cambridge University Press, Cambridge (2006)

    Google Scholar 

  • Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery in databases. AI Magazine 17, 37–54 (1996)

    Google Scholar 

  • Gower, B.: Scientific method. Routledge, Florence, KY (1996)

    Google Scholar 

  • Hanson, N.R.: Patterns of discovery. Cambridge University Press, Cambridge (1958)

    Google Scholar 

  • King, R.D., Whelan, K.E., Jones, F.M., Reiser, P.G.K., Bryant, C.H., Muggleton, S., Kell, D.B., Oliver, S.G.: Functional genomic hypothesis generation and experimentation by a robot scientist. Nature 427, 247–252 (2004)

    Article  Google Scholar 

  • Klemke, E.D., Hollinger, R., Rudge, D.W., Kline, A.D. (eds.): Introductory readings in the philosophy of science. 3rd edn. Prometheus Books, Amherst, NY (1998)

    Google Scholar 

  • Lakatos, I.: Proofs and refutations: The logic of mathematical discovery. Cambridge University Press, Cambridge (1976)

    MATH  Google Scholar 

  • Langley, P.: Rediscovering physics with Bacon.3. In: Proceedings of the Sixth International Joint Conference on Artificial Intelligence, pp. 505–507. Morgan Kaufmann, Tokyo (1979)

    Google Scholar 

  • Langley, P.: The computational support of scientific discovery. International Journal of Human-Computer Studies 53, 393–410 (2000)

    Article  MATH  Google Scholar 

  • Langley, P.: Lessons for the computational discovery of scientific knowledge. In: Proceedings of First International Workshop on Data Mining Lessons Learned, pp. 9–12. University of New South Wales, Sydney (2002)

    Google Scholar 

  • Langley, P., Bradshaw, G.L., Simon, H.A.: Rediscovering chemistry with the bacon system. In: Michalski, R.S., Carbonell, J.G., Mitchell, T.M. (eds.) Machine learning: An artificial intelligence approach, Morgan Kaufmann, San Mateo (1983)

    Google Scholar 

  • Lenat, D.B.: The ubiquity of discovery. Artificial Intelligence 9, 257–285 (1978)

    Article  Google Scholar 

  • Merriam-Webster: Merriam-webster’s collegiate dictionary. 11th edn. Merriam-Webster, Springfield, MA (2003)

    Google Scholar 

  • Mill, J.S.: A system of logic ratiocinative and inductive being a connected view of the principles of evidence and the methods of scientific investigation. 8th edn. Longmans, Green, & Co., London (1900)

    Google Scholar 

  • Newell, A., Shaw, J.C., Simon, H.A.: Chess-playing programs and the problem of complexity. IBM Journal of Research and Development 2, 320–325 (1958)

    Article  MathSciNet  Google Scholar 

  • Popper, K.R.: The logic of scientific discovery. Hutchinson, London (1959)

    Google Scholar 

  • Shrager, J., Langley, P. (eds.): Computational models of scientific discovery and theory formation. Morgan Kaufmann, San Mateo (1990)

    Google Scholar 

  • Simon, H.A.: Scientific discovery and the psychology of human problem solving. In: Colodny, R.G. (ed.) Mind and cosmos: Essays in contemporary science and philosophy, University of Pittsburgh Press, Pittsburgh (1966)

    Google Scholar 

  • Valdez-Perez, R.E.: Computer science research on scientific discovery. Knowledge Engineering Review 11, 51–66 (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Sašo Džeroski Ljupčo Todorovski

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Džeroski, S., Langley, P., Todorovski, L. (2007). Computational Discovery of Scientific Knowledge. In: Džeroski, S., Todorovski, L. (eds) Computational Discovery of Scientific Knowledge. Lecture Notes in Computer Science(), vol 4660. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73920-3_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-73920-3_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73919-7

  • Online ISBN: 978-3-540-73920-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics