An evolutional network architecture for developmental knowledge bases

A. Saad, A. R.M. Zaghloul

Research output: Contribution to book or proceedingConference articlepeer-review

2 Scopus citations

Abstract

We present a network architecture that supports developmental knowledge bases. Knowledge representation in our architecture is based on knowledge quanta. The network architecture described herein is evolutional in nature and utilizes spreading activation algorithms for network formation. In doing so, our research is seeking answers to fundamental questions pertinent to the way people learn as well.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Development and Learning, ICDL 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages114-118
Number of pages5
ISBN (Electronic)0769514596, 9780769514598
DOIs
StatePublished - 2002
Event2nd International Conference on Development and Learning, ICDL 2002 - Cambridge, United States
Duration: Jun 12 2002Jun 15 2002

Publication series

NameProceedings - 2nd International Conference on Development and Learning, ICDL 2002

Conference

Conference2nd International Conference on Development and Learning, ICDL 2002
Country/TerritoryUnited States
CityCambridge
Period06/12/0206/15/02

Scopus Subject Areas

  • Computational Theory and Mathematics
  • Computer Science Applications

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