The document discusses computational explorations of compatibility and innovation in design. The authors R Sosa and JS Gero study how compatibility determines the success of innovative designs using computational social simulations like cellular automata and multi-agent systems. Their research aims to understand how compatibility, complexity, and the rate of new ideas affect adoption patterns and opportunities for innovation within social groups. The models provide insights into generating and evaluating new ideas while maintaining information flow for continued innovation.

1. Computational explorations of compatibility and innovation IFIP CAI : October 2007 R Sosa and JS Gero

2. Who? R Sosa and JS Gero

4. What? R Sosa and JS Gero

5. Compatibility is defined as... R Sosa and JS Gero

6. Compatibility: coffee pods R Sosa and JS Gero

7. Why? R Sosa and JS Gero

9. Compatibility and innovation Is compatibility likely to determine the success or failure of an innovative design? R Sosa and JS Gero

10. How? R Sosa and JS Gero

11. Research approach R Sosa and JS Gero

12. This research addresses... R Sosa and JS Gero

13. Computational social simulation refers to... R Sosa and JS Gero

16. Ok, but how? R Sosa and JS Gero

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20. Framework R Sosa and JS Gero

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23. And? R Sosa and JS Gero

26. Design for innovation guidelines R Sosa and JS Gero

28. Where to? R Sosa and JS Gero

29. Complementary approaches R Sosa and JS Gero

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