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SUMMARY:Path of Least Resistance versus Expert Creativity - Dr Peter Matth
 ews\, Lecturer in Design Informatics in the School of Engineering at the U
 niversity of Durham
DTSTART:20080604T153000Z
DTEND:20080604T163000Z
UID:TALK11889@talks.cam.ac.uk
CONTACT:Thomas Jun
DESCRIPTION:Engineering Design represents a highly creative process that i
 s decision rich. Due to the immature nature of the design information duri
 ng the earliest phases of the design process\, these decisions are frequen
 tly taken with incomplete or uncertain information leading to risk exposur
 e. Engineering designers use their own subjective experience to direct the
 m through this process. This seminar explores support methodologies that a
 re able to inform his decision making process and thus propose a conceptua
 l Bayesian based decision framework. Based on the literature\, two variant
 s of this framework are presented: one which will lead the designer 'down 
 the path of least resistance' and one that will encourage creativity.\n\nB
 iography: Peter Matthews is a Lecturer in Design Informatics in the School
  of Engineering at the University of Durham. His core research interests l
 ie in applying Machine Learning techniques to design problems. In particul
 ar\, he is interested in extracting the design knowledge learnt by the mac
 hine. This extracted knowledge can then be used to guide the documentation
  process for a design domain. This is particularly useful in domains that 
 are not fully understood or that do not have analytical models\, eg. aesth
 etic evaluation.
LOCATION:Meeting Rooms 1A+1B\, (off the Oatly Lab)\, 2nd Floor\, Engineeri
 ng Department
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