Maarten Keijzer ideas: Push Fourth (one stack), Bad Hash Function (tag based on content)
GP best paper may be related to our work
Discussion of GP as optimization vs. program induction
Discussion of automatic software repair and Simon Harding’s multi-type Cartesian genetic programming.
Emma: could see GP as a front-facing part of other hybrid ML algorithms, or as an exploratory technique to understand data better, as opposed to a last-ditch effort when other things don’t work.
Steady-state GP
Lee gave a description
We may be interested in trying out steady-state PushGP
Also, not sure of relation to ALPS (Age-layered population structure)
Rewarding Tag Usage
Kwaku and Emma plan to investigate rewarding tags
Encouraging modularity explicitly in the fitness function may be useful
Difficult to know what to reward
Other tag ideas include a shared tag-space in the whole population, or hereditary tag spaces
Blog
Emma wants to start a blog to encourage communication with the rest of the EC community about issues we think are important
