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Document Design with Interactive Evolution Juan C. Quiroz ,  Amit Banerjee, Sushil J. Louis, and  Sergiu Dascalu Department of Computer Science & Engineering University of Nevada, Reno
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Motivation ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conceptual Design ,[object Object],[object Object],[object Object]
Our Goal ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
Genetic Algorithms ,[object Object],[object Object],[object Object]
Interactive Genetic Algorithms ,[object Object],[object Object],[object Object],[object Object],[object Object]
Related Work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
Evolutionary Document Design ,[object Object],[object Object],[object Object],[object Object],[object Object]
Fitness Evaluation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Subjective Evaluation
Supported Customization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Evolution of Brochures Generation  0 Generation  10
Pretest Experiment ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Preliminary Sample Brochures
User Generated Brochures
Discussion ,[object Object],[object Object],[object Object]
Discussion ,[object Object],[object Object],[object Object]
Discussion ,[object Object],[object Object],[object Object]
Affordance of IGAs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Affordance of IGAs ,[object Object],[object Object]
Affordance Issues in Brochure Evolver ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Future Work ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object]
Questions? ,[object Object],[object Object],[object Object]

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KES IIMSS 2009: Document Design with Interactive Evolution

Editor's Notes

  1. What I’ll be covering today. First I’ll explain the motivation behind our work, why it is interesting and why this audience should care. We propose a computational model of creativity, we’ll see the potential for the model to be creative by looking at design space exploration. Then to test the model, we implemented a framework called IGAP, interactive genetic algorithm peer to peer. We conducted an experiment and evaluation using IGAP for floorplan design, with some interesting results. So the first question we must ask in a talk like this is, what is creativity?
  2. The design process typically consists of these 4 phases: conceptual design, detailed design, evaluation, and iterative redesign. Computers have been used extensively for all these stages of design, except the creative conceptual design phase. So why is this the case?
  3. Alternative design concepts during this design phase may need to be subjectively evaluated, especially when requirements include aesthetics and other subjective criteria. So how do designers evaluate subjective criteria? What’s the formula, or equation that we can code into an algorithm? It is very difficult if not impossible to do so. Finally, we are also interested in collaborative design, computer supported collaborative design. It has been argued that much of our intelligence and creativity results from interaction and collaboration with peers. We can question whether that if it had been the blue man instead of the blue man group, if the man would have been able to come up with the same creative stuff they do. So how do we propose to tackle these challenges?