DCC 08: A model of creative design using collaborative interactive genetic algorithms

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    Notes on slide 1

    Good morning everyone. Thank you for attending my talk. My name is Juan Quiroz and today I’ll be presenting A model of creative design using collaborative interactive genetic algorithms.

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    DCC 08: A model of creative design using collaborative interactive genetic algorithms - Presentation Transcript

    1. A model of creative design using collaborative interactive genetic algorithms Amit Banerjee, Juan C. Quiroz , and Sushil J. Louis Evolutionary Computing Systems Lab University of Nevada, Reno
    2. Outline
      • Motivation
      • Computational model of creativity
      • Design space exploration
      • IGAP
      • Experimental Setup
      • Discussion and Results
    3. Motivation
      • Design process
        • Conceptual design
        • Detailed design
        • Evaluation
        • Iterative redesign
    4. Conceptual Design
      • Subjective evaluation of alternative design concepts
        • Aesthetics and other subjective criteria
      • What is the formula for how designers evaluate subjective criteria?
      • Collaborative design
      • Collaborative
      • Interactive
      • Genetic Algorithm
      • Case study: Floorplans
    5. Computational Model of Creativity Collaborative Interactive Genetic Algorithm
    6. Design Space Exploration
    7. IGAP: Interactive GA Peer to Peer
    8. Individual Visualization Bedroom Eating area Bathroom Living Room
    9. Collaborative Visualization User’s Individuals Peers’ Individuals
    10. Experimental Setup
      • Design a floorplan for a two-bedroom, one-bathroom apartment
        • Living room should face north-west
        • The two bedrooms should not have a common wall
        • At least one of the bedrooms should have direct access to the bathroom
    11. Experimental Setup
      • Authors and two colleagues evolved floorplans
        • Individually
        • Collaboratively
      • Ten computer science graduate students evaluated the designs by taking a survey
      • The plans were evaluated for creative content based on practicality and originality
    12. Floorplan Results
    13. Results
    14. Conclusions
      • IGAP: Interactive Genetic Algorithm Peer to Peer
        • Collaborative interactive genetic algorithm
      • Floorplans developed via collaboration were more original than those created individually
    15. Do You IGAP?
      • www.cse.unr.edu/~quiroz
    16. Comments/Questions?
      • [email_address]
      • www.cse.unr.edu/~quiroz
      • Acknowledgements
        • We thank the survey participants for their time.
        • This work was supported in part by contract number N00014-0301-0104 from the Office of Naval Research and the National Science Foundation under Grant no. 0447416.

    + Juan QuirozJuan Quiroz, 2 years ago

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