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Fitness Landscape Simulation

Fitness Landscape Simulation. Modeling Architecture and Component Research. Ezra Goodnoe. Murat Cokol. Igor Feldman. Laurent Mirabeau. Innovation Theory. Dominant Design After a given time a few dominant designs will emerge. They can be thought as basin of attractions. Dominant Design.

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Fitness Landscape Simulation

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  1. Fitness Landscape Simulation Modeling Architecture and Component Research Ezra Goodnoe Murat Cokol Igor Feldman Laurent Mirabeau

  2. Innovation Theory • Dominant Design • After a given time a few dominant designs will emerge. They can be thought as basin of attractions Dominant Design Process Product

  3. Innovation Theory • Architecture Vs Component Innovation • Companies organize around the architecture of the product they research / manufacture

  4. The Model • One central hub: architecture team • Several peripheral nodes: component teams • Hub decisions impact overall system • Generic network motif

  5. Fitness Function Create n nodes, initialize values 1-5 utility Create n*(n-1)*s*s links, initialize random -1<<1 Calculate fitness for points in landscape Random drop on landscape Select one-mutant neighbor Calculate fitness and walk if higher Iterate, repeat for many agents over several landscapes

  6. Results 10 Landscapes 100 Agents 500 Iterations

  7. Emergence of Dominant Designs

  8. Next Steps • Increase complexity of model by adding dependencies • Try various strategies – Stochastic process to melt off peaks, Concurrent agents, Increase hamming distance • Combine several motifs to create new class of problems

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