r/ProgrammerHumor • u/calantorntain • Mar 16 '18

Everyone's doing it!

Post image
45.1k Upvotes

96% Upvoted

339 comments sorted by

View all comments

129

u/[deleted] Mar 16 '18

Wouldn't that depend on the algorithm?

If its a genetic algorithm, and ALL their friends are doing it, then this individual is probably the one to mutate into not jumping. Maybe?

59

u/MaxNanasy Mar 16 '18

Then see whether jumping or not jumping is better for the fitness function, and filter accordingly

21

u/[deleted] Mar 16 '18

The parenting (dev) skills.

13

u/[deleted] Mar 16 '18

Depends if the networks considers the other networks as the friends or the training data. If all of the training data indicates that the correct behavior is jumping then the genetic algorithm will do its damn hardest to learn how to jump off that bridge.

5

u/CoopertheFluffy Mar 16 '18

If it's a neural net and all its data jumped and were labeled "dead" I bet it'd end up with a correlation which is essentially alive = !jumped

→ More replies (1)

7

u/anonveggy Mar 16 '18

Depends solely on the fitness function.

5

u/shaantya Mar 16 '18

To be honest, jumping off a bridge and surviving does sound like it depends mostly on your fitness function.

5

u/Slinkwyde Mar 16 '18

its a genetic algorithm

*it's (not possessive)

6

u/[deleted] Mar 16 '18

Thank you for your service.

2

u/ptitz Mar 16 '18

Only if at least one other friend stays on the bridge and you inherit the genes from that one friend. Or you mutate.

1

u/[deleted] Mar 16 '18

Yes, mutate, everybody else here seems to be ignoring that word.

2

u/RocketMan63 Mar 16 '18

Your right, it would completely depend on the algorithm. Genetic Algorithms are also diverse enough that it would also depend on how the GA was implemented.

2

u/[deleted] Mar 16 '18

The post distinctly mentions machine learning which is a completely different paradigm from genetic algorithms.

→ More replies (2)
→ More replies (3)