國立虎尾科技大學 |

Cognitive and Agent-based Design Methodologies for Engineering Complex Biological Systems.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Cognitive and Agent-based Design Methodologies for Engineering Complex Biological Systems./
作者:	Egan, Paul F.
面頁冊數:	1 online resource (248 pages)
附註:	Source: Dissertation Abstracts International, Volume: 76-06(E), Section: B.
標題:	Mechanical engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9781321477634

Cognitive and Agent-based Design Methodologies for Engineering Complex Biological Systems.
Egan, Paul F.

Cognitive and Agent-based Design Methodologies for Engineering Complex Biological Systems. - 1 online resource (248 pages)

Source: Dissertation Abstracts International, Volume: 76-06(E), Section: B.

Thesis (Ph.D.)--Carnegie Mellon University, 2014.

Includes bibliographical references

As engineered systems become increasingly more complex, the limitations of traditional engineering approaches for handling designs containing many parts and scales with counter-intuitive emergent behavior is becoming readily more apparent. Throughout this Dissertation, we develop integrative cognitive and agent-based design methodologies that improve upon the state of the art in complex systems design from multiple perspectives. Myosin biomolecular motor systems are utilized as a vessel for developing these design methods, and are particularly well-suited as a case study because myosin-based technologies embody many facets of complex systems, such as bridging nano- to macro- scales with many layers of emergent behavior.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781321477634Subjects--Topical Terms:

557493
Mechanical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Cognitive and Agent-based Design Methodologies for Engineering Complex Biological Systems.
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245 1 0 $a Cognitive and Agent-based Design Methodologies for Engineering Complex Biological Systems.
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300 $a 1 online resource (248 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 76-06(E), Section: B.
500 $a Adviser: Jonathan Cagan.
502 $a Thesis (Ph.D.)--Carnegie Mellon University, 2014.
504 $a Includes bibliographical references
520 $a As engineered systems become increasingly more complex, the limitations of traditional engineering approaches for handling designs containing many parts and scales with counter-intuitive emergent behavior is becoming readily more apparent. Throughout this Dissertation, we develop integrative cognitive and agent-based design methodologies that improve upon the state of the art in complex systems design from multiple perspectives. Myosin biomolecular motor systems are utilized as a vessel for developing these design methods, and are particularly well-suited as a case study because myosin-based technologies embody many facets of complex systems, such as bridging nano- to macro- scales with many layers of emergent behavior.
520 $a The first developed method integrated a multi-agent molecular simulation that recreates emergent behavior with structure-behavior-function representations that could aid engineers' understanding and reasoning about myosin-based systems. The multi-agent simulation was demonstrated to provide insights relating individual molecular alterations to global system performance, resulting in the discovery of design principles that simplify analysis for human designers. Further synergistic methods were developed through cognitive studies that sought to improve user design proficiency with our myosin design graphical user interface, when users were populations of mechanical engineering students. User design searches were tracked and informed cognitive-based search strategies to implement and refine with software agents; when these strategies were returned to users, empirical studies demonstrated an improvement in user search proficiency. Further cognitive studies showed that users learning via interactions with agent-based simulation renderings had improved understanding and design proficiency, compared to when users designed with no prior support. A final integrative methodology informed by cognitive studies utilized distributed agent teams to embody and optimize many potential myosin technologies simultaneously (myosin meta-Systems), with an approach informed by wet-lab experiments and reverse engineered molecular models.
520 $a As a whole, these findings have led to significant improvements in design methods for complex systems, and are supported empirically. These methods led to novel discoveries in the domain of myosin-based design, and were developed in a manner to promote domain-independence. They therefore retain extensibility for aiding engineers in overcoming the challenges of complexity across many interesting and exciting and technological endeavors.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
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650 4 $a Biophysics. $3 581576
650 4 $a Cognitive psychology. $3 556029
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710 2 $a Carnegie Mellon University. $3 845406
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