An Analysis of Property-Flow View vs Individual-Flow View of Inheritance

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In [Touretzky et al., 1987] and [Selman and Levesque, 1989], a brief comparison between upward and downward view of inheritance reasoning is given. In this paper, we review the evolution of inheritance networks, and analyze systematically, the downward (property flow) and upward (individual flow) views of inheritance for different categories of networks. We observe that both these views assign the same meaning to tree-structured hierarchies, and explain the divergence in the interpretation of more general inheritance networks in terms of their expressive power. This simple analysis sheds light on the inherent nature of nonmoaotonic inheritance. In addition, we also describe the notion of preferential inheritance to specify additional conflict resolution information, which can be integrated smoothly with the upward view of inheritance.
Original languageEnglish
Title of host publicationMethodologies for Intelligent Systems
Subtitle of host publication6th International Symposium, ISMIS 1991, Proceedings
EditorsZbigniew W. Ras, Maria Zemankova
PublisherSpringer Verlag
Pages256-265
Number of pages10
ISBN (Electronic)978-3-540-38466-3
ISBN (Print)9783540545637
DOIs
StatePublished - 1991
Event6th International Symposium on Methodologies for Intelligent Systems, ISMIS 1991 - Charlotte , United States
Duration: Oct 16 1991Oct 19 1991

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume542 LNAI Part F2
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Symposium on Methodologies for Intelligent Systems, ISMIS 1991
Country/TerritoryUnited States
CityCharlotte
Period10/16/9110/19/91

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

Keywords

  • Computer science
  • Artificial intelligence
  • Logic in artificial intelligence
  • Expert Systems
  • Learning and Adaptive Systems
  • kowledge base

Disciplines

  • Artificial Intelligence and Robotics

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