John Gero: Unterschied zwischen den Versionen
(→Person) |
(→1997) |
||
| Zeile 86: | Zeile 86: | ||
===1997=== | ===1997=== | ||
| − | * [[John Gero]], Kazakov, V. and Schnier, T. (1997). Genetic engineering and design problems. In D. Dasgupta and Z. Michalewicz (eds): Evolutionary Algorithms in Engineering Applications, Springer Verlag, Berlin, pp.47-68. http://mason.gmu.edu/~jgero//publications/1997/Geroetal.pdf (no c&p) | + | * [[John Gero]], Kazakov, V. and Schnier, T. (1997). [[Genetic engineering and design problems]]. In D. Dasgupta and Z. Michalewicz (eds): Evolutionary Algorithms in Engineering Applications, Springer Verlag, Berlin, pp.47-68. http://mason.gmu.edu/~jgero//publications/1997/Geroetal.pdf (no c&p) |
* [[John Gero]] and Kazakov, V (1997): [[Learning and reusing information in space layout problems using genetic engineering]]. Artificial Intelligence in Engineering 11(3): 329-334. http://dx.doi.org/10.1016/S0954-1810(96)00051-9 http://cumincad.architexturez.net/doc/oai-cumincadworks.id-2483 | * [[John Gero]] and Kazakov, V (1997): [[Learning and reusing information in space layout problems using genetic engineering]]. Artificial Intelligence in Engineering 11(3): 329-334. http://dx.doi.org/10.1016/S0954-1810(96)00051-9 http://cumincad.architexturez.net/doc/oai-cumincadworks.id-2483 | ||
Version vom 15. Januar 2015, 20:05 Uhr
Inhaltsverzeichnis
Person
John S. Gero ist ein Professor am Department of Computer Science und an der School of Architecture an der Universität North Carolina at Charlotte. Er ist weiterhin Professor am Krasnow Institute for Advanced Study und am Department of Computational Social Science der George Mason University. Er war Professor für Design Wissenschaft und Co-Direktor am Key Centre of Design Computing and Cognition der Universität Sydney.
ER ist Autor oder Herausgeber von 50 Büchern und über 650 Artikeln und Buchkapiteln über Design Wissenschaft, Design Computing, Künstliche Intelligenz, Computer-Aided Design, Design Kognition und Kognitionswissenachaft.
Er war Gastprofessor für Architektur, Tiefbau (Civil Engineering), Kognitionswissenschaft, Design und Computation, Maschienenbau Ingenieurwissenschaft am MIT, UC-Berkeley, UCLA, Columbia und CMU in den USA, in Strathclyde und Loughborough in England, am INSA-Lyon und Provence in Frankreich und an der EPFL-Lausanne in der Schweiz.
Seine ehemaligen Promotionsstudenten sind heute Professoren in den USA, England, Australien, Finland, Indien, Japan, Korea, Singapore und Taiwan.
Seine Projekte werden gegenwärtig von der NSF (CMMI, CNS, EEC, IIS und SBE Programme), der DARPA und der NASA gefördert.
He has been the recipient of many excellence awards including the Harkness Fellowship, two Fulbright Fellowships, two SRC Fellowships and various named chairs.
He is on the editorial boards of numerous journals related to design science, computer-aided design, artificial intelligence and knowledge engineering and is the chair of the international conference series Artificial Intelligence in Design, the conference series Design Computing and Cognition and the international conference series Computational and Cognitive Models of Creative Design.
Professor Gero ist ein international tätiger Berater in den Bereichen Design Forschung, Design Kognition, Computer-Aided Design, Künstliche Intelligenz im Design und Technologiepolitik.
Wissenschaftliche Tätigkeit
Design Cognition
- Cognitive studies of designing: protocol studies of designing; cognitive studies of design education, role of drawings in designing http://mason.gmu.edu/~jgero/research/cogstudies.html
- Cognitive neuroscience of designing: the behaviour of the brain while designing http://mason.gmu.edu/~jgero/research/cogneuro.html
Design Computing
- Computational models of creative design: evolutionary systems; analogy; emergence; situated agents, computational social science http://mason.gmu.edu/~jgero/research/compmodels.html
- Evolutionary systems in design: genetic engineering; style emergence, complex evolution http://mason.gmu.edu/~jgero/research/evoldesign.html
- Evolutionary systems provide an interesting and useful model of search and optimization for designers. We have extended genetic algorithms by introducing the concepts of genetic engineering and by changing the evolutionary processes. This has had the effect of producing efficiencies in finding results. More interestingly it has allowed us to produce creative results, results that otherwise could not have been produced by any evolutionary system or other system.
- Projects include:
- genetic engineering extensions to genetic algorithms
- novel crossover processes in genetic-related algorithms
- evolution of the representation of style
- evolution of creative designs
- Ontologies: the development of the Function-Structure-Behaviour ontology and its application to designing, to designed objects and to designing processes http://mason.gmu.edu/~jgero/research/ontologies.html
- Situated design computing: computation founded on situated cognition concepts that allows the acquisition and re-use of experience http://mason.gmu.edu/~jgero/research/situated.html
- Visual representation and reasoning: emergence in design; shape representation; qualitative representations http://mason.gmu.edu/~jgero/research/visual.html
Künstlerische Tätigkeit
Publikationen
2008
- John Gero and Sosa, R (2008): Complexity measures as a basis for mass customisation of novel designs. Environment and Planning B: Planning and Design. http://mason.gmu.edu/~jgero/publications/2008/08GeroSosaEnvPlanB.pdf
2001
- Rob Saunders, John Gero: Artificial creativity: A synthetic approach to the study of creative behaviour. In: John Gero (ed.) Proceedings of the Fifth Conference on Computational and Cognitive Models of Creative Design. pp. 113–139. Key Centre of Design Computing and Cognition, Sydney (2001). http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.92.1464 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.92.1464&rep=rep1&type=pdf http://mason.gmu.edu/~jgero//publications/2001/SaundersGeroHI01.pdf
- Rob Saunders, John Gero: The Digital Clockwork Muse: A Computational Model of Aesthetic Evolution. In: Wiggins, G., (ed.) In: Proc. AISB’01, York UK, pp. 12–21 (2001). http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.6189 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.24.6189&rep=rep1&type=pdf
- Ding, L and John Gero (2001): The emergence of the representation of style in design. Environment and Planning B: Planning and Design, 28(5):707-731. http://dx.doi.org/10.1068/b2730 http://mason.gmu.edu/~jgero/publications/2001/DingGeroEPB.pdf
- John Gero, Kazakov, V. (2001): A genetic engineering approach to genetic algorithms. Evolutionary Computation, 9(1): 71–92. DOI: http://dx.doi.org/10.1162/10636560151075121 http://citeseer.uark.edu:8380/citeseerx/viewdoc/download?doi=10.1.1.93.3979&rep=rep1&type=url&i=0 http://mason.gmu.edu/~jgero/publications/2001/GeroKazakovEvComp.pdf http://dl.acm.org/citation.cfm?id=1108848.1108853&coll=DL&dl=GUIDE&CFID=588525319&CFTOKEN=29804931
2000
- John Gero, Kazakov, V. (2000). Adaptive enlargement of state spaces in evolutionary designing. AI EDAM, 14(1): 31–38. http://dx.doi.org/10.1017/S0890060400141034 http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=38555&fileId=S0890060400141034 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.93.9736 http://mason.gmu.edu/~jgero/publications/2000/GeroKazakovoAIEDAMov4.pdf http://dl.acm.org/citation.cfm?id=966489.966493&coll=DL&dl=GUIDE&CFID=588525319&CFTOKEN=29804931
1998
- John Gero (1998). New models in evolutionary designing. In Bentley, P.J., ed.: AID98 Workshop on Evolutionary Design, AID98, Lisbon, 37–41
- Thorsten Schnier John, John Gero: From Mondrian to Frank Lloyd Wright: Transforming Evolving Representations. In: Third International Conference on Adaptive Computing in Design and Manufacture, Springer, 1998, 207--219. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.1282 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.42.1282&rep=rep1&type=pdf
- Schnier, T., John Gero (1998). From Frank Lloyd Wright to Mondrian: Transforming evolving representation. In Parmee, I.C., ed.: Adaptive Computing in Design and Manufacture. Springer. Berlin, 207–219. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.7486 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.130.7486&rep=rep1&type=pdf
- John Gero and Kazakov, V (1998): Evolving design genes in space layout problems. Artificial Intelligence in Engineering 12(3):163-176. http://mason.gmu.edu/~jgero/publications/1998/98_ger-kaz-evolving-aieng.pdf (no c&p)
- Jo, J and John Gero (1998): Space layout planning using an evolutionary approach. Artificial Intelligence in Engineering 12(3): 149-162. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.3822 http://mason.gmu.edu/~jgero/publications/1998/98JoGeroAIEDAM.pdf
1997
- John Gero, Kazakov, V. and Schnier, T. (1997). Genetic engineering and design problems. In D. Dasgupta and Z. Michalewicz (eds): Evolutionary Algorithms in Engineering Applications, Springer Verlag, Berlin, pp.47-68. http://mason.gmu.edu/~jgero//publications/1997/Geroetal.pdf (no c&p)
- John Gero and Kazakov, V (1997): Learning and reusing information in space layout problems using genetic engineering. Artificial Intelligence in Engineering 11(3): 329-334. http://dx.doi.org/10.1016/S0954-1810(96)00051-9 http://cumincad.architexturez.net/doc/oai-cumincadworks.id-2483
1996
- John Gero: Creativity, emergence and evolution in design. Knowledge-Based Systems 9(7), 435–448 (1996) DOI: http://dx.doi.org/10.1016/S0950-7051(96)01054-4 http://www.researchgate.net/publication/222494842_Creativity_emergence_and_evolution_in_design/links/0deec518ba94bcef14000000
- John Gero, Kazakov, V. (1996). An exploration-based evolutionary model of a generative design process. Microcomputers in Civil Engineering, 11: 209–216. DOI: 10.1111/j.1467-8667.1996.tb00324.x http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.65 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.18.65&rep=rep1&type=pdf
- Schnier, T and John Gero (1996): Learning representations for creative design using evolution. AIEDAM Artificial intelligence for engineering design analysis and manufacturing 03/1996; 10(02), 175-177. http://dx.doi.org/10.1017/S0890060400001499
1995
- John Gero and Louis, S (1995): Improving Pareto optimal designs using genetic algorithms. Microcomputers in Civil Engineering 10(4): 241-249. http://dx.doi.org/10.1111/j.1467-8667.1995.tb00286.x http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.4908 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.36.4908&rep=rep1&type=pdf
Externe Links
homepage: http://cs.gmu.edu/~jgero/
john ät johngero punkt com
http://www.researchgate.net/profile/John_Gero
Mitglied der Masterminds of Evolutionary Art
