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Analogical reasoning and proof discovery

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 310))

Abstract

We introduce preliminary research on the problem of applying analogical reasoning to proof discovery. In our approach, the proof of one theorem is used to guide the proof of a similar theorem by suggesting analogous steps. When a step suggested by a guiding proof cannot be applied, actions are taken to bring the proofs back into correspondence, often by adding intermediate steps. Taking this approach, we have implemented a natural deduction prover which exploits analogical reasoning and has yielded some promising results in the domain of Real Analysis. We present some of these results, which include a proof of the convergence of the product of convergent sequences, using an analogous proof for the sum of convergent sequences. We also include the timing results of one experiment in which our prover's performance was compared with and without the use of analogy.

This work was supported in part by NSF grant CCR-8613 706.

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References

  1. Bledsoe, W. W., “The Use of Analogy in Automatic Proof Discovery”, University of Texas Math Dept. Memo ATP-83, November 1985, MCC-AI-158-86.

    Google Scholar 

  2. Bledsoe, W. W. and Hines, L. M., “Variable Elimination and Chaining in a Resolution-based Prover for Inequalities”, CADE-5, Les Arcs, France, W. Bibel and R. Kowalski (eds.), Springer-Verlag, pp. 70–87, 1980.

    Google Scholar 

  3. Bledsoe, W. W., “The UT Natural-Deduction Prover”, The University of Texas at Austin, Math Department Memo ATP-17B, April 1983.

    Google Scholar 

  4. Brock, B., Cooper, S. and Pierce, W., “Some Experiments with Analogy in Proof Discovery (Preliminary Report)”, MCC Tech. Report AI-347-86, October 1986.

    Google Scholar 

  5. Brock, B., Cooper, S. and Pierce, W., “Some Experiments with Analogy in Proof Discovery: A Natural Deduction Approach”, MCC Tech. Report ACA-AI-274-87, August 1987.

    Google Scholar 

  6. Brock, B., Cooper, S. and Pierce, W., Box Users Manual, MCC Tech. Report ACA-AI-273-87, September 1987.

    Google Scholar 

  7. Carbonell, J. G., “Learning by Analogy: Formulating and Generalizing Plans from Past Experience,” in Machine Learning, An Artificial Intelligence Approach, Vol. I, R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, eds., Tioga Press, Palo Alto, CA, 1983, pp. 137–161.

    Google Scholar 

  8. Gentner, D., “Structure Mapping: A Theoretical Framework for Analogy,” Cognitive Science, vol. 7, no. 2, April 1983, pp. 155–170.

    Google Scholar 

  9. Greiner, R., “Learning by Understanding Analogies”, Ph.D. Thesis, Stanford University, September 1985. Technical Report STAN-CS-1071.

    Google Scholar 

  10. Kling, R. E., “A Paradigm for Reasoning by Analogy”, Artifical Intelligence, Vol. 2, pp. 147–178, 1971.

    Article  Google Scholar 

  11. Owen, S., “Heuristics for Analogy Matching”, DAI Research Paper No. 280, University of Edinburgh.

    Google Scholar 

  12. Ross, K. A., Elementary Analysis: The Theory of Calculus, Springer-Verlag, 1986.

    Google Scholar 

  13. Winston, P. H., “Learning and Reasoning by Analogy”, CACM, Vol. 23, No. 12, pp. 689–703, 1979.

    Google Scholar 

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Ewing Lusk Ross Overbeek

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© 1988 Springer-Verlag Berlin Heidelberg

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Brock, B., Cooper, S., Pierce, W. (1988). Analogical reasoning and proof discovery. In: Lusk, E., Overbeek, R. (eds) 9th International Conference on Automated Deduction. CADE 1988. Lecture Notes in Computer Science, vol 310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0012849

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  • DOI: https://doi.org/10.1007/BFb0012849

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-19343-2

  • Online ISBN: 978-3-540-39216-3

  • eBook Packages: Springer Book Archive

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