Design Computing and Cognition ’06

  • JOHN S. GERO
Conference proceedings

DOI: 10.1007/978-1-4020-5131-9

Table of contents

  1. Front Matter
    Pages I-XII
  2. REPRESENTATION IN DESIGN

    1. Front Matter
      Pages I-XII
  3. EARLY STAGES OF DESIGN

    1. Front Matter
      Pages I-XII
    2. ALEXANDER KOUTAMANIS
      Pages 103-121
    3. YEONJOO OH, GABERIAL JOHNSON, MARK GROSS, ELLEN YI-LUEN DO
      Pages 123-140
    4. STEFANIA BANDINI, FABIO SARTORI
      Pages 141-160
  4. DESIGN METHODOLOGIES

    1. Front Matter
      Pages I-XII
    2. WARREN KERLEY, TONY HOLDEN
      Pages 163-181
    3. CATHOLIJN M JONKER, ALEXEI SHARPANSKYKH, JAN TREUR, PINAR YOLUM
      Pages 203-222
    4. PETER MATTHEWS
      Pages 223-241
  5. COGNITIVE STUDIES OF DESIGNERS

    1. Front Matter
      Pages I-XII
    2. JEFF WT KAN, ZAFER BILDA, JOHN S GERO
      Pages 265-284
    3. RAJI TENNETI, ALEX DUFFY
      Pages 285-304

About these proceedings

Introduction

This is the second volume of the new conference series Design Computing and Cognition (DCC) that takes over from and subsumes the successful series Artificial Intelligence in Design (AID) published by Kluwer since 1992. The AID volumes have become standard reference texts for the field. It is expected that the DCC volumes will perform the same role.

This new biennial conference series provides an international forum for the presentation and discussion of state-of-the-art and cutting-edge design research. The conference proceedings will form a continuing archive of design computing and cognition research.

Design is a fundamentally important topic in disciplines ranging from the more commonly associated fields of architecture and engineering to emerging areas in the social sciences and life sciences. Design is the key to economic competitiveness and the fundamental precursor to objects - both physical and virtual - and services.

The conference theme of design computing and cognition recognizes not only the essential relationship between human cognitive processes as models of computation but also how models of computation inspire conceptual realizations of human cognition.

Keywords

Bayesian network Extension agent-based model architecture artificial intelligence cognition evolution evolutionary algorithm formal method knowledge machine learning modeling ontology product design proving

Editors and affiliations

  • JOHN S. GERO
    • 1
  1. 1.University of SydneyNSWAustralia

Bibliographic information

  • Copyright Information Springer 2006
  • Publisher Name Springer, Dordrecht
  • eBook Packages Engineering
  • Print ISBN 978-1-4020-5130-2
  • Online ISBN 978-1-4020-5131-9