Novel combination of existing ideas

1. Novel combination of existing ideas • Evidence that human designers do this • What to combine? • How to combine? Construct computational operators that use existing“designs” and generate novel “designs” in expanded space of designs Key Centre of Design Computing and Cognition – University of Sydney

2. Genetic crossover as interpolation design space gene space Key Centre of Design Computing and Cognition – University of Sydney

3. Designing a beam cross-section FITNESS=(I,Z) • I is the moment of inertia • Z is the section modulus Key Centre of Design Computing and Cognition – University of Sydney

4. Combination by nonlinear interpolation Initial designs Designs from nonlinear combinations Key Centre of Design Computing and Cognition – University of Sydney

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6. Unexpected design Key Centre of Design Computing and Cognition – University of Sydney

7. Combination by linear extrapolation and interpolation Key Centre of Design Computing and Cognition – University of Sydney

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9. Combination by nonlinear interpolation Key Centre of Design Computing and Cognition – University of Sydney

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11. ANALOGY Key Centre of Design Computing and Cognition – University of Sydney

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13. door hinge screw door frame valve pipe Key Centre of Design Computing and Cognition – University of Sydney

14. Designing travel bottles for men Key Centre of Design Computing and Cognition – University of Sydney

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17. Total population of designs “bad” “good” x • x • • • x x x x “bad” genes “good” genes Process unrelated to human designers: genetic engineering Key Centre of Design Computing and Cognition – University of Sydney

18. Genetically engineering Frank Lloyd Wright Key Centre of Design Computing and Cognition – University of Sydney

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20. Key Centre of Design Computing and Cognition – University of Sydney

21. Genetically engineered Frank Lloyd Wright Key Centre of Design Computing and Cognition – University of Sydney

22. Key Centre of Design Computing and Cognition – University of Sydney

23. Genetically engineered Mondrians Key Centre of Design Computing and Cognition – University of Sydney

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25. Key Centre of Design Computing and Cognition – University of Sydney

26. Genetically engineered Wright windows Key Centre of Design Computing and Cognition – University of Sydney

27. “Flondrians” Frank Lloyd Wright meets Mondrian Key Centre of Design Computing and Cognition – University of Sydney

28. What is a driving motivation? • Not directly connected to a task • Can never be satisfied • Depends on experience – not given at outset Curiosity! Curiosity depends on finding something interesting What is the concept of interesting? Has to “arouse” you Key Centre of Design Computing and Cognition – University of Sydney

29. Modelling interest R e w a r d 1 Berlyne’s model of arousal based on novelty using Wundt curve H x HEDONIC VALUE 0 n n 1 2 N N O V E L T Y x - 1 P u n i s h Key Centre of Design Computing and Cognition – University of Sydney

30. Genetic art with different novelty preferences Key Centre of Design Computing and Cognition – University of Sydney

31. The “Digital Clockwork Muse” • Multiple curious design agents • all creating “genetic artworks” • Peer-to-peer transmission of artworks • transmission of “interesting” artworks • Economy of novelty • agents rewarded for “interesting” artworks Key Centre of Design Computing and Cognition – University of Sydney

32. Situated Creative “Designing” Design agents send “artworks” that they find interesting to other agents.  If other design agents find the artwork interesting they send back a an expression of interest. To be considered creative, design agents have to innovate in ways that other design agents can appreciate. Design agents that develop the same interests in the space of possibilities form “cliques”.     Digital Clockwork Muse Key Centre of Design Computing and Cognition – University of Sydney (after Saunders and Gero)

33. emergence influence Key Centre of Design Computing and Cognition – University of Sydney