Informational inference via information flow

P. D. Bruza, D. Song

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Human judgments about information would seem to have an inferential character. The article presents an informational inference mechanism realized via computations of information flow through a high dimensional conceptual space. The conceptual space is realized via the Hyperspace Analogue to Language Algorithm (HAL), which produces vector representations of concepts compatible with those used in human information processing. We show how inference at the symbolic level can be implemented by employing Barwise and Seligman's (1996) theory of information flow. The real valued state spaces advocated by them are realized by HAL vectors to represent the information "state" of a word in the context of a collection of words. Examples of information flow are given to illustrate how it can be used to drive informational inference.

Original languageEnglish
Title of host publicationProceedings - 12th International Workshop on Database and Expert Systems Applications, DEXA 2001
EditorsA. M. Tjoa, R.R. Wagner
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages237-241
Number of pages5
ISBN (Electronic)0769512305
DOIs
Publication statusPublished - 2001
Externally publishedYes
Event12th International Workshop on Database and Expert Systems Applications, DEXA 2001 - Munich, Germany
Duration: 3 Sept 20017 Sept 2001

Publication series

NameProceedings - International Workshop on Database and Expert Systems Applications, DEXA
Volume2001-January
ISSN (Print)1529-4188

Conference

Conference12th International Workshop on Database and Expert Systems Applications, DEXA 2001
Country/TerritoryGermany
CityMunich
Period3/09/017/09/01

Keywords

  • Animals
  • Birds
  • Books
  • Humans
  • Inference algorithms
  • Inference mechanisms
  • Information processing
  • Search engines
  • Space technology
  • State-space methods

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