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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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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
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Outline
• Motivation
• Computational model of creativity
• Design space exploration
• IGAP
• Experimental Setup
• Discussion and Results
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Motivation
• Design process1. Conceptual design
2. Detailed design
3. Evaluation
4. Iterative redesign
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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
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Collaborative
Interactive
Genetic Algorithm
Case study: Floorplans
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Computational Model of Creativity
Collaborative Interactive Genetic Algorithm
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Individual Visualization
Bedroom
Living RoomEating area
Bathroom
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Collaborative Visualization
User’s Individuals Peers’ Individuals
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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
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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
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Results
DESIGN # PRACTICALITY ORIGINALITY 1 2.7 3.1 2 2.9 2.7 3 2.4 3.3 4 4.4 3.3 6 4.0 3.2 7 2.2 3.4 8 2.8 3.4 10 3.2 3.5 11 4.2 3.6 12 1.6 3.8
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Conclusions
• IGAP: Interactive Genetic Algorithm Peer to Peer– Collaborative interactive genetic algorithm
• Floorplans developed via collaboration were more original than those created individually
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Comments/Questions?
• [email protected]• 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.
