Running multiple fish through a single NN probably creates a mess with recurring links

[leshchenko1979]

Investigate and, if confirmed, insert an additional network into neat.population when splitting the fish

[leshchenko1979]

Confirmed - two brains are using the same context, which messes up the recurring parts of the network, which are in turn much needed in vision processing.

Need to clone the brain of the splitting fish with network.clone() and add it to neat.population with neat.resize().

[leshchenko1979]

To dos:

• [ ] introduce an array genus that will group the fish
• [ ] ensure genus is inherited during splitting
• [ ] when a fish dies, don't delete it but remove from objs instead so it stays in genus
• [ ] fitness function should evaluate the total fish size of the whole genus
• [ ] during evaluation take all fish from genus and make their brain score equal to the fitness of the corresponding genus

[leshchenko1979]

Alternatively we can switch to another paradigm altogether:

1. The fitness function is how long a certain fish has survived.
2. One of the fish (or both of them) mutates on split.
3. When the simulation time elapses for a generation, surviving fish are evaluated on their lifetime.
4. When the simulation ends because all of the fish have died out, the score is proportional on the recorded lifetime of the corresponding fish.

• [ ] start recording birthFrame in Critter() constructor
• [ ] on split clone brain and add it to neat
• [ ] mutate fish on split
• [ ] reset birthFrame on split?
• [ ] when a fish dies, set its brain's score to the fish lifetime
• [ ] calculate neat.population[i].score based on lifetime (currentFrame - birthFrame)
• [ ] entirely replace neat.population on generation change instead of neat.mutate()