Interdisciplinary Engineering Knowledge Genome
Yoram Reich, Offer Shai (alphabetical order)
Motivation (Reich & Shai, 2014)
Parallel to
the concept of the human genome and its impact on biology and other
disciplines, we revealed a similar concept in engineering sciences, termed the
‘‘Interdisciplinary
Engineering Knowledge Genome’’, which
is an organized collection of system and method ‘‘genes’’ that encode
instructions for generating new systems and methods in diverse engineering
disciplines.
We anticipate
that this concept will result in significant advancement to engineering
practice and education.
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דרוש
דוקטורנט
מצטיין (רצוי
פנימי) בעל
רקע בתורת הגרפים
ותכנות
לעבודה מאתגרת
בגילוי
אוטומטי של
ידע הנדסי
במסגרת פרויקט
גנום הידע
ההנדסי. המחקר
ממומן ע"י
הקרן
הלאומית למדעים
החל מ- 2014 למשך 4
שנים. עוד
פרטים – פרופ'
יורם רייך |
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Wanted Outstanding
PhD candidate with background in graph theory and programming to work on
automated discovery of engineering knowledge in the context of the Interdisciplinary
Engineering Knowledge Genome (IEKG) Project. The research is Funded by the Israeli Science Foundation starting 2014 for 4 years. More information – Prof. Yoram Reich |
Resting on the firm mathematical
foundation of combinatorial representations, the Interdisciplinary Engineering
Knowledge Genome unifies many engineering disciplines, providing a basis for
transforming knowledge between them, supporting new educational practices,
promoting inventions, aiding design, and bootstrapping new discoveries in
engineering and science. Given the formal underlying combinatorial
representations, these merits could be automated.
The IEKG encompasses
many concepts similar to the HG concept. Among the key concepts are engineering
knowledge genes that are the basic building blocks of the IEKG. We describe two
types of genes: system genes and methods genes. Subsequently, we illustrate
work to date that demonstrates the value of the concept.
The IEKG is related to
infused design (ID; Shai and Reich 2004a, b). ID started as a method that rests on a solid mathematical
foundation of combinatorial representations of systems that allows transferring
solutions and methods between disciplines. In this context, combinatorial
representations are graphs and matroids from discrete
mathematics (Recski 1989; Shai 2001a, b). Their choice as a
foundation of ID and consequently of IEKG is borne out of numerous studies
showing how they can be used to translate knowledge between different domains
as summarized in (Shai and Reich 2004a).
As the study of ID
continued, it became clear that the body of knowledge it uses has special
properties that deserve focused attention. The IEKG arose out of this
observation. The IEKG is the body of knowledge about the combinatorial
representation of systems and their intricate relations. The development of the
IEKG would improve significantly the capabilities of ID as well as provide
insight about disciplinary knowledge not necessarily related to ID. The IEKG
could be viewed as static view of knowledge (i.e., ontology) while ID as the
way to utilize this knowledge (i.e., praxis).
Some definitions
System
genes are models of objects that are
represented with formal abstract mathematical representations called
combinatorial representations and are concise, useful, and efficient.
Method
genes are useful methods operating on
combinatorial representations.
The
Interdisciplinary Engineering
Knowledge Genome is
the known set of system and method genes and the knowledge associated with
these genes.
A
system G represented by a combinatorial
representation is an s-gene if it is a well-constrained graph and
removing any set of vertices does not result in an s-gene.
More information could be found in (Reich
& Shai, 2014) the other relevant references
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Human Genome Project |
Interdisciplinary Engineering
Knowledge Genome
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enes |
Linear arrangement of amino
acids |
System genes: arrangement of basic objects
represented in discrete mathematics |
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Method genes: |
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Structure genes: |
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In the future, infused design will revolutionize design education:
1. There will be a single theoretical course on Infused design and its mathematical foundation
2. Many other courses would become applications courses (e.g., electrical circuits, mechanisms, structural mechanics)
Presentations (1-2 hours long):
Publications:
1. O. Shai and Y. Reich, “Infused design: A brief introduction,” in CD-ROM Proceedings of the 14th International Conference on Engineering Design (ICED), The Design Society, 2003.
2. Shai and Y. Reich, “Infused design: I theory,” Research in Engineering Design, 15(2):93-107, 2004a.
3. Shai and Y. Reich, “Infused design: II practice,” Research in Engineering Design, 15(2):108-121, 2004b.
4.
O, Shai, Y. Reich, and D.
Rubin, “Infused creativity: An approach to creative system design,” Ambidextrous,
Stanford’s
5.
O. Shai, Y. Reich, and D.
Rubin, “Infused Creativity: An Approach to Creative System Design,” in Proceedings
of the 17th International Conference on Design Theory and Methodology (DTM),
(
6. O. Shai, Y. Reich, and D. Rubin, “Creative conceptual design: extending the scope by infused design,” Computer-Aided Design, 41(3):117-135, 2009.
7. O. Shai, Y. Reich, A. Hatchuel, E. Subrahmanian, Creativity theories and scientific discovery: a study of C-K Theory and Infused Design, International Conference on Engineering Design, ICED'09, Stanford, CA, 2009. Outstanding paper award. Extended version published as: O. Shai, Y. Reich, A. Hatchuel, E. Subrahmanian, Creativity and scientific discovery with Infused Design and its analysis with C-K theory, Research in Engineering Design, 24(2):201-214, 2013.
8.
O. Shai, Y. Reich, Inventing a new metho
9. Shai, O. Reich, Y., Understanding engineering systems through the engineering knowledge genome: structural genes of systems topologies, international Conference on Engineering Design, ICED'11, Copenhagen, Denmark, 2011.
10. Y. Reich and O. Shai, The Interdisciplinary Engineering Knowledge Genome, Research in Engineering Design, 23(3):251-264, 2012.
Related references:
- Y. Reich, O. Shai, E. Subrahmanian, A. Hatchuel, P. Le Masson, “The interplay between design and mathematics: Introduction to bootstrapping effects,” Proceedings of the 9th Biennial ASME Conference on Engineering Systems Design and Analysis ESDA2008, Haifa, Israel, 2008.
Last modified: 10/15/2014 5:36:00 PM