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Reasoning using inheritance from a mixture of knowledge and beliefs

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Knowledge Based Computer Systems (KBCS 1989)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 444))

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Abstract

Certain inadequacies of homogeneous inheritance systems have caused an interest in heterogeneous inheritance systems. Heterogeneous representations allow for mixing of ‘known’ relations (inherited through ‘strict’ links) and what is ‘believed’ (inherits through ‘defeasible’ links). However, few well-founded systems have been proposed and heterogeneous systems have been considered to be not yet well understood. This paper presents a theory and implementation of a heterogeneous inheritance system. The principles of the system are that (i) rules of composition allow paths to be considered as single links (effective relationships), and (ii) rules of comparison allow selection of those effective relationships which state the most definite, specific information. These rules are enumerated and discussed, then an implementation of the theory is shown. An example of the operation of the system is explained in detail. Related recent work is noted.

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Author information

Authors and Affiliations

  1. Institut Dalle Molle pour les, Etudes Semantiques & Cognitives, Route des Acacias, 54, 1227, Geneva, Switzerland

    Afzal Ballim

  2. Computing Research Lab, New Mexico State University, 88003, Las Cruces, NM, USA

    Sylvia Candelaria de Ram

  3. Centre for Systems Science, Simon Fraser University, V5A 1S6, Burnaby, British Columbia, Canada

    Dan Fass

Authors
  1. Afzal Ballim
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  2. Sylvia Candelaria de Ram
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  3. Dan Fass
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Editor information

S. Ramani R. Chandrasekar K. S. R. Anjaneyulu

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© 1990 Springer-Verlag Berlin Heidelberg

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Ballim, A., de Ram, S.C., Fass, D. (1990). Reasoning using inheritance from a mixture of knowledge and beliefs. In: Ramani, S., Chandrasekar, R., Anjaneyulu, K.S.R. (eds) Knowledge Based Computer Systems. KBCS 1989. Lecture Notes in Computer Science, vol 444. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0018396

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  • DOI: https://doi.org/10.1007/BFb0018396

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52850-0

  • Online ISBN: 978-3-540-47168-4

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