Prerequisites for biological modeling

Biological modeling has a long history, nevertheless most models are too simplistic and rigid.

In order to model life phenomena one has to realize that life is a process. The organism is a set of interacting processes. Traditional modeling tools like differential equations or PDEs are too rigid for modeling processes. The inadequacy of time series   involving random numbers, e.g. random walks, was discussed previously. The same applies to genetic algorithms whose evolution and interaction is driven by random numbers.

The game of life was the first modern tool for modeling processes yet it is too rigid for simulating life. Neural nets are still poor models for processes encountered in the organism. We are left with CA. Please visit my latest creation: Swarm intelligence
May this be  simulated with networks?  Can you model processes with networks? If so please indicate how.

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