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Engineering Design
Representation and Reasoning

2nd Edition

$98.00 (P)

  • Date Published: April 2012
  • availability: In stock
  • format: Hardback
  • isbn: 9780521514293

$ 98.00 (P)
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About the Authors
  • Contrary to a lot of popular mythology, the designs of popular products and successful systems do not appear suddenly, or magically. The authors believe that symbolic representation, and related problem-solving methods, offer significant opportunities to clarify and articulate concepts of design to lay a better framework for design research and design education. Artificial Intelligence (AI) provides a substantial body of material concerned with understanding and modeling cognitive processes. This book adopts the vocabulary and paradigms of AI to enhance the presentation and explanation of design. It includes concepts from AI because of their explanatory power and because of their utility as possible ingredients of practical design activity. This second edition has been enriched by the inclusion of recent work on design reasoning, computational design, AI in design, and design cognition, with pointers to a wide cross section of the current literature.

    • Combines ideas and methods from artificial intelligence and design theory to show that engineering design can be approached computationally
    • Informs the reader on how designers think and on the interactions between designers and their available (computational) tools
    • Provides an up-to-date review of recent work on design reasoning, computational design, AI in design, and design cognition, with selective pointers to a wide cross section of the current literature
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    Reviews & endorsements

    "Dym and Brown present a useful resource to bring any design engineer interested in AI, or AI computer scientist interested in design, up to speed on the fundamentals of the field. This new edition also hints at emerging ideas from his active area of research. A very nice book, Engineering Design, demonstrates how AI can impact the research and practice of engineering design." - Jonathan Cagan, George Tallman and Florence Barrett Ladd Professor of Engineering, Carnegie Mellon University

    "The original edition provided the basis for a profound understanding of engineering design using concepts from artificial intelligence. In the second edition, Clive Dym and David Brown have, in a masterful manner, made a good book better. This edition brings together newly developed concepts in artificial intelligence and cognitive science to enhance our understanding of design. If you want to understand engineering design there is no better place to start than this book." - John S. Gero, Research Professor, Krasnow Institute for Advanced Study, formerly Director, Key Centre of Design Computing and Cognition, University of Sydney

    PRAISE FOR THE FIRST EDITION: "[Dym] has done an excellent job of describing the design process, both the psychological processes of the designer and the interaction between the human designer and the design tools that are now available and becoming available to assist (or collaborate) in the task. The book is a valuable contribution to the design literature and should be of great use as a solid introduction to the field." - Herbert A. Simon, Nobel Laureate, Professor, Carnegie Mellon University

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    Product details

    • Edition: 2nd Edition
    • Date Published: April 2012
    • format: Hardback
    • isbn: 9780521514293
    • length: 212 pages
    • dimensions: 261 x 182 x 14 mm
    • weight: 0.62kg
    • availability: In stock
  • Table of Contents

    1. Framing the issues
    2. Engineering design
    3. Characterizing the design process
    4. Taxonomies of engineering design
    5. Representing designed artifacts
    6. Representing design processes
    7. Where do we go from here?

  • Instructors have used or reviewed this title for the following courses

    • Conceptual Design
    • Senior Design Projects - Capstone
  • Authors

    Clive L. Dym, Harvey Mudd College, California
    Clive L. Dym is Fletcher Jones Professor of Engineering Design and Director of the Center for Design Education at Harvey Mudd College. His primary interests are in engineering design and structural mechanics. He is the author of several books including Engineering Design: A Synthesis of Views (1994), Structural Modeling and Analysis (1997), Principles of Mathematical Modeling, Second Edition (2004) and Engineering Design: A Project Based Introduction, co-authored with Patrick Little (2008). He has published more than 90 refereed journal articles and is the founding editor of Artificial Intelligence for Engineering Design, Analysis and Manufacturing. He has served on the editorial boards of several other journals, including the ASME's Journal of Mechanical Design.

    David C. Brown, Worcester Polytechnic Institute, Massachusetts
    David C. Brown is Professor of Computer Science and has a collaborative appointment as Professor of Mechanical Engineering at Worcester Polytechnic Institute. He is also affiliated with the Manufacturing, Robotics and Learning Sciences programs. His research interests include computational models of engineering design and the applications of artificial intelligence to engineering and manufacturing. He has published Design Problem Solving: Knowledge Structures and Control Strategies, co-authored with B. Chandrasekaran (1990) and Intelligent Computer Aided Design, co-edited with M. B. Waldron and H. Yoshikawa (1992). From 2001 to 2011, he was the Editor in Chief of Artificial Intelligence for Engineering Design, Analysis and Manufacturing and has been on the editorial boards of Concurrent Engineering: Research and Application; Research in Engineering Design and The International Journal of Design Computing.

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