Growing and Destroying the Worth of Ideas

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Creativity and Cognition Conference. UC Berkeley October 2009

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Growing and Destroying the Worth of Ideas

  1. 1. Ricardo Sosa               John Gero               Kyle Jennings Tec de Monterrey               George Mason Univ                  UC Berkeley            Page 295
  2. 2. Ideas are important! Especially in the current crisis... creative ideas are really important!    
  3. 3. A tough question... How do new ideas get to be considered as 'creative'? (how do people ascribe this value?)    
  4. 4. Research approach Explore possibilities with computer models    
  5. 5. Computational explorations  Individualistic  Interactionist  Social simulations    
  6. 6. Computational explorations Individualistic Algorithms that human experts judge as worthy Interactionist Person-program interaction    
  7. 7. Computational explorations Social simulations  Systems where worth grows from interacting generators and evaluators    
  8. 8. Cellular automata (CA) models    
  9. 9. Evaluation criteria of creativity  Individualistic  pre-programmed  Interactionist  externalised  Social simulations  emergent, socially-defined    
  10. 10. soft modelling (curious, playful) hard modelling (ignore indexicality)    
  11. 11. ”Creative autonomy” Ability to change without resorting to:  directly parroting others  purely random drift    
  12. 12. Multi­agent frameworks Swarm, NetLogo, RePast, Mason...  Inadequate model for ideas  Ideas are dynamic entities  Ideas are human products but also produce values    
  13. 13. Theories of (creative) change Thomas Kuhn  Cumulative anomalies of dominant ideas  Communities ascribe value to new ideas Joseph Schumpeter  Stages of high competition followed by disturbances by entrepreneurs  Economic upswings based on increased differentiation and profits    
  14. 14. Theories of (creative) change Edgar Morin  'noosphere': system of ideas  value of dominant ideas embedded in a social world Mihalyi Csikszentmihalyi  domain transmits information, person produces a variation, field selects some variations    
  15. 15. Theories of (creative) change Dean Simonton  Critical predictor of recognition is total output Hi = pTi + ui  Hi : high impact works by person i  p : average hit rate for that domain  Ti : total productivity of person i  ui : random variable with a mean = 0    
  16. 16. IAS framework Idea – Agent – Society (IAS)  Method for empirical experimentation  Interplay of cognitive, social and symbolic dimensions where creativity develops    
  17. 17. IAS framework Author Level I Level A Level S Focus Kuhn Exemplar Proponent Community Validity Schumpeter Innovation Entrepreneur Market Profits Morin Noosphere Strong spirit Culture Domestication Csikszentmihalyi Domain Individual Field Cultural evolution Simonton Logic Genius Zeitgeist Recognition Level I Level S Level A    
  18. 18. IAS framework Level I Is/Si Level S (Ii) (Ss) Ia/Ai Level A Sa/As (Aa) Ia Transmission, language, intellectual property Ai Mutation, displacement, reinterpretation As Dissent, promotion, acceptance seeking Sa Norms, recognition, social influence, conformity Si Selection, 'gatekeeping' Is Allegiance, dogmas, anomalies    
  19. 19. IAS framework Idea – Agent – Society (IAS)  What is defined algorithmically?  What is expected to be 'grown'?  Non-deterministic rules, bootstraping, threshold modelling...  Capture non-creative equilibrium trend with exceptional disruption points    
  20. 20. IAS framework Idea – Agent – Society (IAS) Simulation is not the aim: - improve our understanding - assess ideas to test in the lab /field    
  21. 21. What is creativity? Where is creativity? Author How do people and societies  Level I Level A Level S Focus Kuhn Exemplar Proponent Community Validity ascribe the creative value? Schumpeter Innovation Entrepreneur Market Profits Morin Noosphere Strong spirit Culture Domestication Csikszentmihalyi Domain Individual Field Cultural evolution Simonton Logic Genius Zeitgeist Chance Level I Level S (Ii) (Ss) Level A (Aa)    
  22. 22. sosa.ricardo@gmail.com    
  23. 23. Questions  Claudia Eckert: can you model systems that distinguish between the idea itself and the way it is presented?  Interesting, would be a scenario where I and A are constant, and S-processes are changed to assess how the way an idea is presented changes its impact  Mary Lou: What are the scales of these systems?  Suitable for modelling small groups (as in classroom   studies) and for very large systems of 100ks  

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