Artificial Intelligence in Design ’02

  • John S. Gero

Table of contents

  1. Front Matter
    Pages i-x
  2. Design Synthesis

    1. Front Matter
      Pages 1-1
    2. Tim Smithers
      Pages 3-24
    3. Alexander Felfernig, Gerhard Friedrich, Dietmar Jannach, Markus Zanker
      Pages 41-61
  3. Frameworks for Design

    1. Front Matter
      Pages 63-63
    2. Mihaly Lenart, Ana Pasztor
      Pages 65-88
    3. John S. Gero, Udo Kannengiesser
      Pages 89-104
    4. Rudi Stouffs, Ramesh Krishnamurti
      Pages 105-128
  4. Spatial Synthesis and Analysis

    1. Front Matter
      Pages 129-129
    2. Noritoshi Sugiura, Shigeyuki Okazaki
      Pages 131-151
    3. Sviataslau Pranovich, Henri Achten, Jarke J. Van Wijk
      Pages 153-164
    4. Ellen Yi-Luen Do
      Pages 165-188
  5. Conceptual Knowledge in Design

    1. Front Matter
      Pages 189-189
    2. Zhi Gang Xu, Ming Xi Tang, John Hamilton Frazer
      Pages 215-236
  6. Learning from Human Designers

    1. Front Matter
      Pages 259-259
    2. Pierre Leclercq, Ann Heylighen
      Pages 285-303

About this book

Introduction

One of the foundations for change in our society comes from designing. Its genesis is the notion that the world around us either is unsuited to our needs or can be improved. The need for designing is driven by a society's view that it can improve or add value to human existence well beyond simple subsistence. As a consequence of designing the world which we inhabit is increasingly a designed rather than a naturally occurring one. In that sense it is an "artificial" world. Designing is a fundamental precursor to manufacturing, fabrication, construction or implementation. Design research aims to develop an understanding of designing and to produce models of designing that can be used to aid designing. Artificial intelligence has provided an environmental paradigm within which design research based on computational constructions, can be carried out. Design research can be carried out in variety of ways. It can be viewed as largely an empirical endeavour in which experiments are designed and executed in order to test some hypothesis about some design phenomenon or design behaviour. This is the approach adopted in cognitive science. It often manifests itself through the use of protocol studies of designers. The results of such research form the basis of a computational model. A second view is that design research can be carried out by positing axioms and then deriving consequences from them.

Keywords

Embodied Cognition agents architecture artificial intelligence data exchange evolution intelligence knowledge learning ontology programming software agent

Editors and affiliations

  • John S. Gero
    • 1
  1. 1.Key Centre of Design Computing and CognitionUniversity of SydneyAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-017-0795-4
  • Copyright Information Springer Science+Business Media B.V. 2002
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-6059-4
  • Online ISBN 978-94-017-0795-4
  • About this book