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Exploration and Innovation in Design

Towards a Computational Model

  • Book
  • © 1991

Overview

Authors:
  1. D. Navinchandra

    1. Robotics Institute, Carnegie Mellon University, Pittsburgh, USA

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Part of the book series: Symbolic Computation (SYMBOLIC)

Part of the book sub series: Artificial Intelligence (1064)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xi
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  2. Introduction and Overview

    • D. Navinchandra
    Pages 1-18

  3. A Design Scenario

    • D. Navinchandra
    Pages 19-38

  4. The Design Problem

    • D. Navinchandra
    Pages 39-49

  5. Design Synthesis

    • D. Navinchandra
    Pages 51-66

  6. Design Exploration

    • D. Navinchandra
    Pages 67-93

  7. Design Adaptation

    • D. Navinchandra
    Pages 95-110

  8. Putting It All Together: A Detailed Architecture of CYCLOPS

    • D. Navinchandra
    Pages 111-114

  9. Relationship to Other Work

    • D. Navinchandra
    Pages 115-122

  10. Assumptions, Shortcomings, and Future Research

    • D. Navinchandra
    Pages 123-126

  11. Epilogue

    • D. Navinchandra
    Pages 127-127

  12. Back Matter

    Pages 129-194
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Keywords

About this book

Exploration and Innovation in Design is one of the first books to present both conceptual and computational models of processes which have the potential to produce innovative results at early stages of design. Discussed here is the concept of exploration where the system, using computational processes, moves outside predefined available decisions. Sections of this volume discuss areas such as design representation and search, exploration and the emergence of new criteria, and precedent-based adaptation. In addition, the author presents the overall architecture of a design system and shows how the pieces fit together into one coherent system. Concluding chapters of the book discuss relationships of work in design to other research efforts, applications, and future research directions in design. The ideas and processes presented in this volume further our understanding of computational models of design, particularly those that are capable of assisting in the production of non-routine designs, and affirm that we are indeed moving toward a science of design.

Authors and Affiliations

  • Robotics Institute, Carnegie Mellon University, Pittsburgh, USA

    D. Navinchandra

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