- local optimum that are only 80% better (the choice may not be absolutely optimal and can locally be suptobptimal);
- shit will happens and planning have to be redone for each incidents;
- an infinite knowledge requiring infinite resource is impossible to achieve thus you have to reason with agent with incomplete global informations others than "thermodynamics global metrics"
- you still have to prove you do better than random,
- your improvements are costing less than the saving you will do;
- this results in a strongly distributed system that is adapatative.
All of this can be donne my having simulation with adequate utilities for the agent in the way of this simulation:
- local optimum that are only 80% better (the choice may not be absolutely optimal and can locally be suptobptimal);
- shit will happens and planning have to be redone for each incidents;
- an infinite knowledge requiring infinite resource is impossible to achieve thus you have to reason with agent with incomplete global informations others than "thermodynamics global metrics"
- you still have to prove you do better than random,
- your improvements are costing less than the saving you will do;
- this results in a strongly distributed system that is adapatative.
All of this can be donne my having simulation with adequate utilities for the agent in the way of this simulation:
https://github.com/jul/KISSMyAgent/wiki