Networked bubble propagation method as a polynomial-time hypothetical reasoning for computing quasi-optimal solution

Yukio Ohsawa, Mitsuru Ishizuka

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

1 Citation (Scopus)

Abstract

A hypothetical reasoning is an important knowledge system's framework because of its theoretical basis and its usefulness for practical problems including diagnosis, design, etc. One crucial problem with the hypothetical reasoning is, however, its slow inference speed. In order to achieve practical or tractable speed, polynomial-time approximate solution method of equivalent 0-1 integer programming, i.e., pivot and complement method, has been applied to computing hypothetical reasoning. However, to achieve further improvement by considering the knowledge structure of a given problem, it is beneficial to have another inference method which can work in knowledge domain rather than mathematical programming domain. For this purpose, the above method is reformalized in this paper using a new type of network. By taking advantage of the knowledge structure, this network achieves an inference speed in the order of 0(N2) against N, where N indicates problem size.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Tools with Artificial Intelligence
Editors Anon
Place of PublicationPiscataway, NJ, United States
PublisherPubl by IEEE
Pages184-187
Number of pages4
ISBN (Print)0818642009
Publication statusPublished - 1993
Externally publishedYes
EventProceedings of the 5th International Conference on Tools with Artificial Intelligence TAI '93 - Boston, MA, USA
Duration: 1993 Nov 81993 Nov 11

Other

OtherProceedings of the 5th International Conference on Tools with Artificial Intelligence TAI '93
CityBoston, MA, USA
Period93/11/893/11/11

ASJC Scopus subject areas

  • Software

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