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  • Computational Models of Design Creativity

    Séminaire de John Gero invité au laboratoire G-SCOP

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    Cet épisode fait partie du podcast INPod / GI - Conférences et Ouvertures

    • 02 Sep 2014 14:39:19
    • Gilles Foucault
    • 01 h 54 min
    • 308.53 Mo
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    Computers and creativity are thought to be incompatible. This talk aims to show that this is a misconception. It introduces foundational concepts of creative processes and presents two classes of computational process models of creativity, the first is based on direct modeling of processes and the second is based on situated cognition that produces emergent results. The talk describes and presents results from: a genetic engineering approach to combination to produce new kinds of designs a new class of interpolations that can result in improving on Pareto optimal designs social cognitive behavior modeling of designers producing emergent results connecting creativity with innovation. Speaker John Gero is Research Professor in Computer Science and Architecture at UNCC and Research Professor in the Krasnow Institute of Advanced Study and in Computational Social Science at GMU. He has been a Visiting Professor at MIT, CMU, UC-Berkeley, UCLA, Columbia University, Loughborough University, Strathclyde University, EPFL, University of Provence and INSA-Lyon. He is the author of 50 books and over 650 published research papers. website : http://mason.gmu.edu/~jgero/

    design, creativity

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