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Information management in context trees

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Summary

Information management in context trees involves three principal problems: retrieval, updating and garbage collection. These problems are discussed in the paper, and solutions are proposed and motivated. A list organization and relative algorithms to implement context trees are presented. Finally, experimental results are reported about the behaviour of a system which exploits context trees.

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References

  1. Abrial, J.R.: Data semantics. In: Data base management (J.W. Kimbie, K.L. Koffeman, eds.). Amsterdam: North Holland 1974

    Google Scholar 

  2. Bobrow, D.G., Raphael, B.: New programming languages for Artificial Intelligence Research. Comput. Surveys 6, 153–174 (1974)

    Google Scholar 

  3. Davies, D., Julian, M.: Popler 1.5 Reference Manual. Univ. of Edinburgh, TPU Report 1, May 1973

  4. Hewitt, C.: Procedural embedding of knowledge in PLANNER. Proc. 2nd Int. J. Conf. on Artificial Intelligence, London, pp. 167–182, 1971

  5. Montangero, C., Pacini, G., Turini, F.: MAGMA-Lisp: a machine language for Artificial Intelligence. Proc. 4th Int. J. Conf. on Artificial Intelligence, Tbilisi, pp. 556–561, 1975

  6. Montangero, C., Pacini, G., Turini, F.: Two-level control structure for nondeterministic programming. Comm. ACM 20, 725–730 (1977)

    Google Scholar 

  7. Reboh, R., Sacerdoti, E.: A preliminary QLISP manual. Stanford Research Institute, Artificial Intelligence Center, Tech. Note 81, August 1973

  8. Rulifson, J.F., Waldinger, R.J., Derksen, J.A.: QA4: a procedural calculus for intuitive reasoning. Stanford Research Institute, Artificial Intelligence Center, Tech. Note 73, November 1973

  9. Smith, D.C., Enea, H.J.: Backtracking in MLISP2. Proc. 3rd Int. J. Conf. on Artificial Intelligence, Stanford, pp. 671–685, 1973

  10. Sussman, G.J., McDermott, D.V.: From PLANNER to CONNIVER, a genetic approach. Proc. AFIPS FJCC 72, Vol. 41, Pt. II, AFIPS Press, Montvale, N.J., pp. 1171–1179, 1972

    Google Scholar 

  11. Wegbreit, B.: Retrieval from context trees. Information Processing Lett. 3, 119–120 (1975)

    Google Scholar 

  12. Wegbreit, B.: Faster retrieval from context trees. Comm. ACM 19, 526–529 (1976)

    Google Scholar 

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Authors and Affiliations

  1. Istituto di Scienze dell' Informazione, Università di Pisa, Corso Italia, 40, I-56100, Pisa, Italy

    Carlo Montangero, Giuliano Pacini & Maria Simi

Authors
  1. Carlo Montangero
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  2. Giuliano Pacini
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  3. Maria Simi
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  4. Franco Turini
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Montangero, C., Pacini, G., Simi, M. et al. Information management in context trees. Acta Informatica 10, 85–94 (1978). https://doi.org/10.1007/BF00260926

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  • DOI: https://doi.org/10.1007/BF00260926

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