1. evolution tutorial based on simple population evolution a simple robot controller with two alternative tasks... 1.move to bottom right of grid 2.move furthest away from start position you may also try your own tester

2. tutorial example

3. details genome: 60 bits phenome: 20 * 3 bit moves moves are: north/south/east/west + 4 stay-still function test judges progression to SE corner function test2 judges progression away from start typically sensitive to... population size selection strategy etc

4. steps (1) load matcher, etc download evolutionary learning system from AI web-page compile run using (evolve) examine results using (inspect *population*)... see next page...

5. steps (2) edit tester to use test2 for 2 nd test world experiment with the following parameters & examine results... *no-generations*, *mutate-prob*, *cross-prob*, *population-size* try setting mutate probability high & crossover probability low & vice-versa, what are your conclusions?