A model of creative design using collaborative interactive genetic algorithms Amit Banerjee,  Juan C. Quiroz , and Sushil ...
Outline <ul><li>Motivation </li></ul><ul><li>Computational model of creativity </li></ul><ul><li>Design space exploration ...
Motivation <ul><li>Design process </li></ul><ul><ul><li>Conceptual design </li></ul></ul><ul><ul><li>Detailed design </li>...
Conceptual Design <ul><li>Subjective evaluation of alternative design concepts </li></ul><ul><ul><li>Aesthetics and other ...
<ul><li>Collaborative  </li></ul><ul><li>Interactive  </li></ul><ul><li>Genetic Algorithm </li></ul><ul><li>Case study: Fl...
Computational Model of Creativity Collaborative Interactive Genetic Algorithm
Design Space Exploration
IGAP: Interactive GA Peer to Peer
Individual Visualization Bedroom Eating area Bathroom Living Room
Collaborative Visualization User’s Individuals Peers’ Individuals
Experimental Setup <ul><li>Design a floorplan for a two-bedroom, one-bathroom apartment </li></ul><ul><ul><li>Living room ...
Experimental Setup <ul><li>Authors and two colleagues evolved floorplans </li></ul><ul><ul><li>Individually </li></ul></ul...
Floorplan Results
Results
Conclusions <ul><li>IGAP: Interactive Genetic Algorithm Peer to Peer </li></ul><ul><ul><li>Collaborative interactive genet...
Do You IGAP? <ul><li>www.cse.unr.edu/~quiroz </li></ul>
Comments/Questions? <ul><li>[email_address] </li></ul><ul><li>www.cse.unr.edu/~quiroz </li></ul><ul><li>Acknowledgements <...
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DCC 08: A model of creative design using collaborative interactive genetic algorithms

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We propose a computational model of creative design that uses collaboration among peers participating in interactive evolutionary sessions.

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

    1. 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. 2. Outline <ul><li>Motivation </li></ul><ul><li>Computational model of creativity </li></ul><ul><li>Design space exploration </li></ul><ul><li>IGAP </li></ul><ul><li>Experimental Setup </li></ul><ul><li>Discussion and Results </li></ul>
    3. 3. Motivation <ul><li>Design process </li></ul><ul><ul><li>Conceptual design </li></ul></ul><ul><ul><li>Detailed design </li></ul></ul><ul><ul><li>Evaluation </li></ul></ul><ul><ul><li>Iterative redesign </li></ul></ul>
    4. 4. Conceptual Design <ul><li>Subjective evaluation of alternative design concepts </li></ul><ul><ul><li>Aesthetics and other subjective criteria </li></ul></ul><ul><li>What is the formula for how designers evaluate subjective criteria? </li></ul><ul><li>Collaborative design </li></ul>
    5. 5. <ul><li>Collaborative </li></ul><ul><li>Interactive </li></ul><ul><li>Genetic Algorithm </li></ul><ul><li>Case study: Floorplans </li></ul>
    6. 6. Computational Model of Creativity Collaborative Interactive Genetic Algorithm
    7. 7. Design Space Exploration
    8. 8. IGAP: Interactive GA Peer to Peer
    9. 9. Individual Visualization Bedroom Eating area Bathroom Living Room
    10. 10. Collaborative Visualization User’s Individuals Peers’ Individuals
    11. 11. Experimental Setup <ul><li>Design a floorplan for a two-bedroom, one-bathroom apartment </li></ul><ul><ul><li>Living room should face north-west </li></ul></ul><ul><ul><li>The two bedrooms should not have a common wall </li></ul></ul><ul><ul><li>At least one of the bedrooms should have direct access to the bathroom </li></ul></ul>
    12. 12. Experimental Setup <ul><li>Authors and two colleagues evolved floorplans </li></ul><ul><ul><li>Individually </li></ul></ul><ul><ul><li>Collaboratively </li></ul></ul><ul><li>Ten computer science graduate students evaluated the designs by taking a survey </li></ul><ul><li>The plans were evaluated for creative content based on practicality and originality </li></ul>
    13. 13. Floorplan Results
    14. 14. Results
    15. 15. Conclusions <ul><li>IGAP: Interactive Genetic Algorithm Peer to Peer </li></ul><ul><ul><li>Collaborative interactive genetic algorithm </li></ul></ul><ul><li>Floorplans developed via collaboration were more original than those created individually </li></ul>
    16. 16. Do You IGAP? <ul><li>www.cse.unr.edu/~quiroz </li></ul>
    17. 17. Comments/Questions? <ul><li>[email_address] </li></ul><ul><li>www.cse.unr.edu/~quiroz </li></ul><ul><li>Acknowledgements </li></ul><ul><ul><li>We thank the survey participants for their time. </li></ul></ul><ul><ul><li>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. </li></ul></ul>

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