Patterns of design cognition in back propagation neural networks

YiFan Gao*, Manolya Kavakli

*Corresponding author for this work

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

2 Citations (Scopus)
57 Downloads (Pure)

Abstract

Design cognition patterns play an important role as a measure of design expertise and cognitive informatics. In this paper, we have applied content-oriented protocol analysis to assess the differences between the cognitive patterns for a given design task between novice and expert designers. Investigating the key cognitive actions that lead to productivity in design, we have developed neural networks to explore their correlations. Our findings indicate that design cognition patterns can be modeled in a back propagation network in which the explicit relations among individual cognitive actions can be investigated. We aim at training the neural network of the novice using the expert's.

Original languageEnglish
Title of host publicationProceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Interne
EditorsM. Mohammadian
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages600-605
Number of pages6
Volume2
ISBN (Print)0769525040, 9780769525044
DOIs
Publication statusPublished - 2005
EventInternational Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, IAWTIC 2005 - Vienna, Austria
Duration: 28 Nov 200530 Nov 2005

Other

OtherInternational Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, IAWTIC 2005
Country/TerritoryAustria
CityVienna
Period28/11/0530/11/05

Bibliographical note

Copyright 2005 IEEE. Reprinted from CIMCA 2005 jointly with IAWTIC 2005 : proceedings : 28-30 November 2005, Vienna, Austria. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Fingerprint

Dive into the research topics of 'Patterns of design cognition in back propagation neural networks'. Together they form a unique fingerprint.

Cite this