Engineering Design: Representation and

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.

Clive L. Dym is the Fletcher Jones Professor of Engineering Design and Director of the Center for Design Education at Harvey Mudd College. Dym was a co-winner of the National Academy of Engineering's 2012 Bernard M. Gordon Prize. He is the author of several books, including Structural Modeling and Analysis, Principles of Mathematical Modeling, and Engineering Design. A Project-Based Introduction, Third Edition (with Patrick Little). David C. Brown is a Professor of Computer Science and of Mechanical Engineering at Worcester Polytechnic Institute. His published books include Design Problem Solving: Knowledge Structures and Control Strategies (coauthored with B. Chandrasekaran) and Intelligent Computer Aided Design (coedited with M. B. Waldron and H. Yoshikawa).

Preface	p. xi
Preface to the First Edition	p. xiii
Acknowledgments	p. xvii
Framing the Issues	p. 1
Representation of Artifacts for Design	p. 1
Representation of the Design Process	p. 3
An Illustration from Structural Engineering	p. 6
On the Role of Computation	p. 8
Bibliographic Notes	p. 10
Engineering Design	p. 12
From Design to Engineering Design	p. 12
A Definition of Engineering Design	p. 16
Bibliographic Notes	p. 19
Characterizing the Design Process	p. 20
Dissecting the Design Process	p. 20
Describing the Design Process	p. 22
Prescriptions for the Design Process	p. 25
Information Processing Models of Design	p. 30
Design Methods in the Design Process	p. 34
Bibliographic Notes	p. 37
Taxonomies of Engineering Design	p. 39
Routine versus Creative Design	p. 39
A Taxonomy of Mechanical-Design Problems	p. 43
A More General Mechanical-Design Taxonomy	p. 47
A Task-Level Taxonomy for Selection Design	p. 53
Selection Design Refined	p. 54
Knowledge-Level Analysis of Design	p. 55
Analysis of Design Tasks	p. 59
Toward a Unified Taxonomy?	p. 61
Bibliographic Notes	p. 67
Representing Designed Artifacts	p. 69
The Languages of Engineering Design	p. 69
Images of Designed Artifacts	p. 73
Feature-Based Descriptions	p. 79
Object-Oriented Descriptions	p. 85
Integrated Descriptions	p. 92
Communicating about Designed Artifacts	p. 100
Bibliographic Notes	p. 110
Representing Design Processes	p. 113
Classical Design Methods	p. 113
AI-Based Problem-Solving Methods	p. 122
Models of Design Processes	p. 137
Bibliographic Notes	p. 153
Where Do We Go from Here?	p. 155
Uses of Symbolic Representation in Engineering Design	p. 155
Research on Representation in Design	p. 163
Symbolic Representation in Engineering-Design Education	p. 167
Bibliographic Notes	p. 171
References Listed in First Edition	p. 173
New References	p. 182
Index	p. 189
Table of Contents provided by Ingram. All Rights Reserved.

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Engineering Design: Representation and Reasoning

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