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* 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
 
* 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
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Gero, J. S. and Kazakov, V. (2000): [[Adaptive enlargement of state spaces in evolutionary designing]]. AIEDAM 14(1): 31-38. http://dx.doi.org/10.1017/S0890060400141034 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
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Gero, JS and Kazakov, V (2001): [[A genetic engineering extension to genetic algorithms]], Evolutionary Computation 9(1): 71-92. http://dx.doi.org/10.1162/10636560151075121 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
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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
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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
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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://mason.gmu.edu/~jgero/publications/1997/97GeroKazakovAIENG.pdf
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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
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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
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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
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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
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== Externe Links ==
 
== Externe Links ==
 
homepage: http://cs.gmu.edu/~jgero/  
 
homepage: http://cs.gmu.edu/~jgero/  
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http://www.researchgate.net/profile/John_Gero
  
 
[https://www.flickr.com/photos/gbachelier/sets/72157604047581024/ Mitglied] der [https://www.flickr.com/photos/gbachelier/collections/72157603627941498/ Masterminds of Evolutionary Art]
 
[https://www.flickr.com/photos/gbachelier/sets/72157604047581024/ Mitglied] der [https://www.flickr.com/photos/gbachelier/collections/72157603627941498/ Masterminds of Evolutionary Art]

Version vom 8. Dezember 2014, 11:39 Uhr

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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

Research Areas

Design Cognition

Cognitive studies of designing: protocol studies of designing; cognitive studies of design education, role of drawings in designing more

Cognitive neuroscience of designing: the behaviour of the brain while designing more


Design Computing

Computational models of creative design: evolutionary systems; analogy; emergence; situated agents, computational social science more

Evolutionary systems in design: genetic engineering; style emergence, complex evolution more


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 more

Situated design computing: computation founded on situated cognition concepts that allows the acquisition and re-use of experience more

Visual representation and reasoning: emergence in design; shape representation; qualitative representations more

Künstlerische Tätigkeit

Publikationen

2003

2001

2000


1998

  • Gero, J.S. (1998). New models in evolutionary designing. In Bentley, P.J., ed.: AID98 Workshop on Evolutionary Design, AID98, Lisbon, 37–41

1996




Gero, J. S. and Kazakov, V. (2000): Adaptive enlargement of state spaces in evolutionary designing. AIEDAM 14(1): 31-38. http://dx.doi.org/10.1017/S0890060400141034 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


Gero, JS and Kazakov, V (2001): A genetic engineering extension to genetic algorithms, Evolutionary Computation 9(1): 71-92. http://dx.doi.org/10.1162/10636560151075121 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


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


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://mason.gmu.edu/~jgero/publications/1997/97GeroKazakovAIENG.pdf


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


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


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


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





Externe Links

homepage: http://cs.gmu.edu/~jgero/

http://www.researchgate.net/profile/John_Gero

Mitglied der Masterminds of Evolutionary Art


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