Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/32346
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorHUYBRECHTS, Liesbeth
dc.contributor.authorWesterlinck, Bo
dc.date.accessioned2020-10-01T11:34:37Z-
dc.date.available2020-10-01T11:34:37Z-
dc.date.issued2020
dc.identifier.urihttp://hdl.handle.net/1942/32346-
dc.description.abstractThe past years the task of being an architect has become more complex than ever; the different kinds of regulations that have to be taken into account, the rapidly evolving construction techniques, the ever-changing and multifaceted society, etc... In order to combine all of these different aspects into qualitative architecture, it can be helpful to use some kind of systematic approach, a generative handbook or overall guiding principles that support our design process or could optimize our daily work-flow. Thus I am really intrigued by all the possibilities that systematic approaches (such as pattern(languages), parametric design methods or architectural intelligence), with (or without) technology, have to offer for us as architects. How can design patterns be used as a way to support designers in complex design processes? How does it guide the design process towards the outcome? This research specifically focused on how natural patterns can be used during a parametric design process in order to achieve new forms of human-nature intelligence.
dc.format.mimetypeApplication/pdf
dc.languagenl
dc.publisherUHasselt
dc.titleArchitectural Intelligence - From Pattern Languages to Parametric Design towards Artificial Intelligence
dc.typeTheses and Dissertations
local.bibliographicCitation.jcatT2
dc.description.notesmaster in de architectuur
local.type.specifiedMaster thesis
item.fullcitationWesterlinck, Bo (2020) Architectural Intelligence - From Pattern Languages to Parametric Design towards Artificial Intelligence.-
item.contributorWesterlinck, Bo-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
Appears in Collections:Master theses
Files in This Item:
File Description SizeFormat 
34c90e5c-bece-48c7-a372-66c3094ad396.pdf39.6 MBAdobe PDFView/Open
Show simple item record

Page view(s)

130
checked on Nov 7, 2023

Download(s)

62
checked on Nov 7, 2023

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.