John Gero: Unterschied zwischen den Versionen
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'''Design Cognition''' | '''Design Cognition''' | ||
− | * Cognitive studies of designing: protocol studies of designing; cognitive studies of design education, role of drawings in designing | + | * 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 | + | * Cognitive neuroscience of designing: the behaviour of the brain while designing http://mason.gmu.edu/~jgero/research/cogneuro.html |
'''Design Computing''' | '''Design Computing''' | ||
− | * Computational models of creative design: evolutionary systems; analogy; emergence; situated agents, computational social science | + | * Computational models of creative design: evolutionary systems; analogy; emergence; situated agents, computational social science http://mason.gmu.edu/~jgero/research/compmodels.html |
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+ | * 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. | ** 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. | ||
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*** evolution of creative designs | *** 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 | + | * 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 |
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− | * | + | * 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 == | == Künstlerische Tätigkeit == |
Version vom 8. Dezember 2014, 13:01 Uhr
Inhaltsverzeichnis
Person
John Gero is a Research Professor at the Krasnow Institute for Advanced Study and at the Department of Computational Social Science, George Mason University and in Computer Science and Architecture at the University of North Carolina, Charlotte. Formerly he was Professor of Design Science and Co-Director of the Key Centre of Design Computing and Cognition, at the University of Sydney. He is the author or editor of 50 books and over 650 papers and book chapters in the fields of design science, design computing, artificial intelligence, computer-aided design, design cognition and cognitive science. He has been a Visiting Professor of Architecture, Civil Engineering, Cognitive Science, Computer Science, Design and Computation or Mechanical Engineering at MIT, UC-Berkeley, UCLA, Columbia and CMU in the USA, at Strathclyde and Loughborough in the UK, at INSA-Lyon and Provence in France and at EPFL-Lausanne in Switzerland. His former doctoral students are professors in the USA, UK, Australia, Finland, India, Japan, Korea, Singapore and Taiwan.
Current and recent research funding has been from the NSF (CMMI, CNS, EEC, IIS and SBE Programs), DARPA and NASA.
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 is also an international consultant in the fields of design research, design cognition, computer-aided design, artificial intelligence in design and technology policy.
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
- Gero, JS 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
2003
- Saunders, R., Gero, J.: Artificial creativity: a synthetic approach to the study of creative behavior. In: Gero, J. (ed.) Creative Design V, Key Centre of Design Computing and Cognition (2003). http://mason.gmu.edu/~jgero//publications/2001/SaundersGeroHI01.pdf
2001
- Saunders, R., Gero, J.S.: Artificial creativity: A synthetic approach to the study of creative behaviour. In: Gero, J.S. (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
- Saunders, R., Gero, J.: 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
- Gero, J.S., 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
- Ding, L and Gero, JS (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
2000
- Gero, J.S., 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
- Gero, J.S. (1998). New models in evolutionary designing. In Bentley, P.J., ed.: AID98 Workshop on Evolutionary Design, AID98, Lisbon, 37–41
- Thorsten Schnier John , John S 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., Gero, J.S. (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
- Gero, JS 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 Gero, JS (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
- Gero, J. S., 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)
- Gero, JS 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
- Gero, J.S.: 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
- Gero, J., 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 Gero, JS (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
- Gero, JS 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/
http://www.researchgate.net/profile/John_Gero
Mitglied der Masterminds of Evolutionary Art