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.
http://www.what-is-cancer.com/papers/ca/randomness.htm
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.
Back to complexity index