Probabilistic Decision Making for Interactive Evolution with
Sensitivity Analysis
J Eisenmann / Matt Lewis / Rick Parent

preview

preview
interactive evolutionary algorithms for the design of digital assets
typical interaction cycle
-
display
-
select
-
reproduce
-
repeat until satisfied
interactive design with
evolutionary algorithms
-
simple interface
-
creative support
-
subjective
-
human evaluation bottleneck
What if designers were given
the option to choose only
the parts of phenotypes
that they like?
inverse mapping with sensitivity analysis

sensitivity analysis with
the Morris method
sensitivity analysis with
the Morris method
sensitivity analysis with
the Sobol method







Morris heuristic

practical considerations
- Morris requires fewer model evaluations
- Sobol measures quantitative sensitivities more accurately
- Important variables
- model evaluation time
- number of region-of-interest selections
- number of model evaluations
- number of genes
crossover operator

crossover comparison

mutation comparison

design session comparison

design session comparison

design session comparison

design session comparison

design session comparison

design session comparison

design session comparison

design session comparison

design session comparison

Questions?
J Eisenmann
jeisenma@accad.osu.edu
accad.osu.edu/~jeisenma
Cara Malek / Matt Lewis
J Eisenmann / Lindsay Beach / Matt Lewis
J Eisenmann / Matt Lewis
J Eisenmann / Matt Lewis
Probabilistic Decision Making for Interactive Evolution with Sensitivity Analysis J Eisenmann / Matt L ewis / Rick Parent