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> Is it just "hobbyists" or do some academics derive useful work out from pursuing them?

The excessive search for "useful work" is one of the bigger problem of academia today. Even the most practical research usually doesn't look useful at the beginning, and pursuing things that seem immediately applicable to real-world problems can be a form of premature optimization. Not to say we shouldn't pursue the "practicality" route at all, but today most research seems to be optimized for short-term money generation and/or fame.

Anyway, cellular automata are a separate research field, and I'm pretty sure that some of those game-of-life engineers are academics who are doing this as research because it's fun/interesting. And hail to them, because those hobbyst-scientists create tools that enterpreneurs can forge progress with.



It's not Conways life, but biologists use cellular automata as models to show that simple rules can create such things as a zebra's stripes, a leopard's spots, the competition between bacterial colonies, development of the human brain, etc. Google "cellular automata in biology" for examples (the first hit I got is http://www.math.pitt.edu/~bard/pubs/jtb_ca.pdf. Twenty years old, but to my outsider's eye, it appears to be a decent overview)


I did simulations of spread of fire and smoke inside buildings with cellular automata for my BSc. CA's have lots of interesting applications in many different domains, even not related to science itself.




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