MCB 419 Homework 4
This week's model explores threshold-logic ideas introduced by Braitenberg in Vehicle 5. The 'on-off' non-linearity allows 'neurons' to make 'decisions' that influence behavior. In this week's scenario, the bot is faced with a foraging task where it has to make a few key decisions to optimize performance (to move, or not to move... to open its mouth, or keep it shut...).
First you'll explore the behavior generated by a controller that uses 5 threshold-logic 'neurons'
to solve the task.
Then you'll write a controller using regular 'ifelse' NetLogo syntax
to see if you can do better.