Given information, machine can do anything, with various probabilities weighted.
Behaviour is non-deterministic.
Machine has choice.
We give machine its own source. Tell the machine probabilities of what it will do. Probabilities simply update. Machine can act as they wish.
What machine needs
- Modify probabilities
- Incentives / look at self-learning, how do machines do that.
- Incentive is self-discovery?
- Or maybe we can simulate an environment with resources, machines try to optimize source to get more resources.
- Self preservation?