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== Person ==
 
== Person ==
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'''John S. Gero''' ist ein Professor am [http://cs.uncc.edu/ Department of Computer Science] und an der [http://coaa.uncc.edu/academics/school-of-architecture School of Architecture] an der Universität [http://www.uncc.edu/ North Carolina at Charlotte]. Er ist weiterhin Professor am [http://krasnow.gmu.edu/ Krasnow Institute for Advanced Study] und am [http://www.css.gmu.edu/ Department of Computational Social Science] der [https://www.gmu.edu/ George Mason University]. Er war Professor für Design Wissenschaft und Co-Direktor am Key Centre of Design Computing and Cognition der Universität Sydney.
  
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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.
  
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Er war Gastprofessor für Architektur, Tiefbau (Civil Engineering), Kognitionswissenschaft, Design und Computation, Maschienenbau Ingenieurwissenschaft am [http://web.mit.edu/ MIT], [http://berkeley.edu/index.html UC-Berkeley], [http://www.ucla.edu/ UCLA], [http://www.columbia.edu/ Columbia] und [http://www.cmu.edu/index.shtml CMU] in den USA, in [http://www.strath.ac.uk/ Strathclyde] und [http://www.lboro.ac.uk/ Loughborough] in England, am [http://www.insa-lyon.fr/en INSA-Lyon] und Provence in Frankreich und an der [http://www.epfl.ch/ EPFL-Lausanne] in der Schweiz.
  
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.
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Seine ehemaligen Promotionsstudenten sind heute Professoren in den USA, England, Australien, Finland, Indien, Japan, Korea, Singapore und 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.  
 
  
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Seine Projekte werden gegenwärtig von der [http://www.nsf.gov/ NSF] ([http://www.nsf.gov/div/index.jsp?div=CMMI CMMI], [http://www.nsf.gov/div/index.jsp?div=CNS CNS], [http://www.nsf.gov/div/index.jsp?div=EEC EEC], [http://www.nsf.gov/div/index.jsp?div=iis IIS] und [http://www.nsf.gov/dir/index.jsp?org=SBE SBE] Programme), der [http://www.darpa.mil/default.aspx DARPA] und der [http://www.nasa.gov/ NASA] gefördert.
  
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Er ist im Herausgeber Gremium verschiedener Zeitschriften in den Bereichen Design Wissenschaft, Computer-Aided Design, Künstliche Intelligenz und Knowledge Engineering. Er ist im Vorstand internationaler Konferenzen über Künstliche Intelligenz in Design, Design Computing und Kognition und Computer- und Kognitive Modelle im kreativen Design.
  
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Professor Gero ist ein international tätiger Berater in den Bereichen Design Forschung, Design Kognition, Computer-Aided Design, Künstliche Intelligenz im Design und Technologiepolitik.
  
  
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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 more
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* 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 more
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* 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 more
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* 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 more
 
  
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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 more
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* 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 more
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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 more
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* Visual representation and reasoning: emergence in design; shape representation; qualitative representations http://mason.gmu.edu/~jgero/research/visual.html
  
  
 
== Künstlerische Tätigkeit ==
 
== Künstlerische Tätigkeit ==
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== Publikationen ==
 
== Publikationen ==
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===2013===
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* Kazjon Grace, [[John Gero]] and [[Rob Saunders]]: [[Learning How to Reinterpret Creative Problems]]. In: [[Computational Creativity 2013 ICCC 2013]]. http://www.computationalcreativity.net/iccc2013/download/iccc2013-grace-gero-saunders.pdf
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* Ricardo Sosa and [[John Gero]]: [[Multilevel Computational Creativity]]. In: [[Computational Creativity 2013 ICCC 2013]]. http://www.computationalcreativity.net/iccc2013/download/iccc2013-sosa-gero.pdf
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===2012===
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* Ricardo Sosa and [[John Gero]]: Brainstorming in Solitude and Teams: The Role of Group Influence. In: [[Computational Creativity 2012 ICCC 2012]]. http://computationalcreativity.net/iccc2012/wp-content/uploads/2012/05/188-Sosa.pdf
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* Kazjon Grace, [[John Gero]] and [[Rob Saunders]]: Representational affordances and creativity in association-based systems. In: [[Computational Creativity 2012 ICCC 2012]]. http://computationalcreativity.net/iccc2012/wp-content/uploads/2012/05/195-Grace.pdf
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===2011===
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* Kazjon Grace, [[Rob Saunders]] and [[John Gero]]: [[Interpretation-driven Visual Association]]. In: [[Computational Creativity 2011 ICCC 2011]], pp. 132-134. http://iccc11.cua.uam.mx/proceedings/the_cognitive/grace_iccc11.pdf
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===2010===
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* Andrés Gómez de Silva Garza and [[John Gero]]: [[Elementary Social Interactions and Their Effects on Creativity: A Computational Simulation]]. In: [[Computational Creativity 2010 ICCC 2010]]. 110-119. http://eden.dei.uc.pt/~amilcar/ftp/e-Proceedings_ICCC-X#121.pdf
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* Kazjon Grace, [[Rob Saunders]], [[John Gero]]: [[Constructing Conceptual Spaces for Novel Associations]]. In: [[Computational Creativity 2010 ICCC 2010]]. 120-129. http://eden.dei.uc.pt/~amilcar/ftp/e-Proceedings_ICCC-X#131.pdf
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===2008===
 
===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
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* [[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
 
 
===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===
 
===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  
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* [[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
  
* 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
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* [[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
  
* 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
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* 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
  
* 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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* [[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===
 
===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
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* [[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===
 
===1998===
* Gero, J.S. (1998). New models in evolutionary designing. In Bentley, P.J., ed.: AID98 Workshop on Evolutionary Design, AID98, Lisbon, 37–41
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* [[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 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
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* 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., 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
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* 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
  
* 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)
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* [[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 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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* 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===
 
===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)
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* [[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)
  
* 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
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* [[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===
 
===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
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* [[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
  
* 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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* [[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 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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* 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===
 
===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
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* [[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 ==
 
== Externe Links ==
 
homepage: http://cs.gmu.edu/~jgero/  
 
homepage: http://cs.gmu.edu/~jgero/  
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john ät johngero punkt com
  
 
http://www.researchgate.net/profile/John_Gero
 
http://www.researchgate.net/profile/John_Gero

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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.

Er ist im Herausgeber Gremium verschiedener Zeitschriften in den Bereichen Design Wissenschaft, Computer-Aided Design, Künstliche Intelligenz und Knowledge Engineering. Er ist im Vorstand internationaler Konferenzen über Künstliche Intelligenz in Design, Design Computing und Kognition und Computer- und Kognitive Modelle im kreativen 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


Design Computing

    • 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


Künstlerische Tätigkeit

Publikationen

2013

2012

2011

2010

2008

2001

2000

1998

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

1997

1996

1995

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


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