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Asking questions versus verifiability

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Analogical and Inductive Inference (AII 1992)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 642))

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Abstract

Case and Smith studied learning machines whose conjectures are verifiable (i.e. the conjectures are total programs). They discovered that such machines are weaker than machines whose conjectures are not verifiable. Gasarch and Smith studied learning machines that ask questions. They discovered that such machines are stronger than passive machines. We raise the question Can the weakness of verifiability be overcome by the strength of asking queries?

We answer many interesting questions along the way. These include a full examination of PEX and the resolution of some open problems of Gasarch Smith.

The motivating question has two answers: if unbounded mind changes are allowed then queries do not increase learning power of verifiable machines, where in the bounded case they do.

Supported by NSF grants CCR-880-3641 and CCR 9020079

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References

  1. Angluin, D. and Smith, C. H. Inductive inference: theory and methods. Computing Surveys 15 (1983), 237–269.

    Google Scholar 

  2. Angluin, D. and Smith, C. H. Inductive inference. In Encyclopedia of Artificial Intelligence, S. Shapiro, Ed., John Wiley and Sons Inc., 1987.

    Google Scholar 

  3. Blum, L. and Blum, M. Toward a mathematical theory of inductive inference. Information and Control 28 (1975), 125–155.

    Google Scholar 

  4. Case, J. and Smith, C. Comparison of identification criteria for machine inductive inference. Theoretical Computer Science 25, 2 (1983), 193–220.

    Google Scholar 

  5. Daley, R. P. and Smith, C. H. On the complexity of inductive inference. Information and Control 69 (1986), 12–40.

    Google Scholar 

  6. Davis, M., H. Putnam, and Robinson, J. The decision problem for exponential diophantine equations. Annals of Mathematics 74 (1961), 425–436.

    Google Scholar 

  7. Davis, M. Hilbert's 10th problem is unsolvable. American Mathematical Monthly 80 (1973), 233–269.

    Google Scholar 

  8. Freivalds, R., Smith, C., and Velauthapillai, M. Trade-offs amongst parameters effecting the inductive inferribility of classes of recursive functions. Information and Computation 82, 3 (1989), 323–349.

    Google Scholar 

  9. Gasarch, W. and Smith, C. Learning via Queries. to appear in JACM.

    Google Scholar 

  10. Gasarch, W., Kinber, E., Pleszkoch, M., Smith, C., and Zeugmann, T. Learning via queries with teams and anomalies. Manuscript.

    Google Scholar 

  11. Gasarch, W., Pleszkoch, M., and Solovay, R. Learning via queries with plus and less than. to appear in JSL.

    Google Scholar 

  12. Gold, E. M. Language identification in the limit. Information and Control 10 (1967), 447–474.

    Google Scholar 

  13. Maciitey, M. and Young, P.An Introduction to the General Theory of Algorithms. North-Holland, New York, New York, 1978.

    Google Scholar 

  14. Matijasevic, Y. Enumerable sets are diophantine. Doklady Academy Nauk. SSSR 191 (1970), 279–282. Translation in Sov. Math. Dokl. 11, 1970, pp. 354–357.

    Google Scholar 

  15. Pleszkoch, M., Gasarch, W., Jain, S., and Solovay, R. Learning via queries to an oracle. Manuscript.

    Google Scholar 

  16. Rogers, H. Jr.Theory of Recursive Functions and Effective Computability. McGraw Hill, New York, 1967.

    Google Scholar 

  17. Smith, C. H. The power of pluralism for automatic program synthesis. Journal of the ACM 29, 4 (1982), 1144–1165.

    Google Scholar 

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Klaus P. Jantke

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© 1992 Springer-Verlag Berlin Heidelberg

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Gasarch, W.I., Velauthapillai, M. (1992). Asking questions versus verifiability. In: Jantke, K.P. (eds) Analogical and Inductive Inference. AII 1992. Lecture Notes in Computer Science, vol 642. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56004-1_14

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  • DOI: https://doi.org/10.1007/3-540-56004-1_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56004-3

  • Online ISBN: 978-3-540-47339-8

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