Produkt
KlappentextThe book presents a theoretical and technical background for applying MAS (Multi Agent Systems) in Architecture, Engineering and Construction. It focuses in the early design stage and makes use of domain specific data which relate to different design domains (structural, environmental, architectural design) to inform the agent behaviors. The proposed framework is applicable especially to design problems which traditionally require the close collaboration of engineers and architects.?
Evangelos Pantazis, Ph.D. ,
IBI Group / Computational Design Lead
Topotheque / Co-Founder
.2014-2019/ United States University of Southern California, Viterbi School of Engineering,
Doctor of Philosophy (Ph.D.) in Civil and Environmental Engineering
.2011-2013/ Switzerland ETH Zurich, Computer Aided Architectural Design, prof. L. Hovestadt.
Advanced Master of Science (MAS) in CAAD (Computer Aided Arch.
.Aug. 2019- ... Computational Design Lead, 'IBI Group', USA
- Leads the parametric design team consisting of 7 people and develops algorithmic solutions that range from parametric planning to generative building design
-Does research and development and implements web based design tools and energy modelling workflows that allow interoperability among different teams
Evangelos Pantazis, Ph.D. ,
IBI Group / Computational Design Lead
Topotheque / Co-Founder
.2014-2019/ United States University of Southern California, Viterbi School of Engineering,
Doctor of Philosophy (Ph.D.) in Civil and Environmental Engineering
.2011-2013/ Switzerland ETH Zurich, Computer Aided Architectural Design, prof. L. Hovestadt.
Advanced Master of Science (MAS) in CAAD (Computer Aided Arch.
.Aug. 2019- ... Computational Design Lead, 'IBI Group', USA
- Leads the parametric design team consisting of 7 people and develops algorithmic solutions that range from parametric planning to generative building design
-Does research and development and implements web based design tools and energy modelling workflows that allow interoperability among different teams
Details
Weitere ISBN/GTIN9783110797473
ProduktartE-Book
EinbandartE-Book
FormatEPUB
Format HinweisDRM Adobe
FormatE101
Verlag
Erscheinungsjahr2024
Erscheinungsdatum19.02.2024
Auflage1. Auflage
ReiheDe Gruyter STEM
Seiten266 Seiten
SpracheEnglisch
Illustrationen53 b/w and 69 col. ill.
Artikel-Nr.13438126
Rubriken
Genre9200