====== Interesting Somehow Related Works ======


==== The Non-Equilibrium Nature of Culinary Evolution ====

|O. Kinouchi, R. W. Diez-Garcia, A. J. Holanda, P. Zambianchi and A. C. Roque| 2008| {{:wiki:private:antonio_et_al_culinariaevoltion_newjourphysics_2008.pdf|New Journal of Physics, 10, 073020}}|

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**Abstract: **Food is an essential part of civilization, with a scope that ranges from
the biological to the economic and cultural levels. Here, we study the statistics
of ingredients and recipes taken from Brazilian, British, French and Medieval
cookery books. We find universal distributions with scale invariant behaviour.
We propose a copy-mutate process to model culinary evolution that fits our
empirical data very well. We find a cultural ‘founder effect’ produced by the
non-equilibrium dynamics of the model. Both the invariant and idiosyncratic
aspects of culture are accounted for by our model, which may have applications
in other kinds of evolutionary processes.

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==== Complex Systems: Network Thinking ====


|Melanie Mitchell| 2006| {{:wiki:private:melaniemitchell_in_networkaij_2006.pdf|To appear in Artificial Intelligence.}}|


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**Abstract: **I am convinced that the nations and people who master the new sciences of complexity
will become the economic, cultural, and political superpowers of the next century. - Heinz
Pagels [50]
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When I hear the word "complexity," I don't exactly reach for my hammer, but I suspect
my eyes narrow. It has the dangerous allure of an incantation, threatening to acquire the
same blithe explanatory role that "adaptation" once did in biology. - Philip Ball [1]

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==== The Complexity Debate Through the Cognitive Science Perspective ====

|Melanie Mitchell| 1998| {{:wiki:private:melaniemitchell_in_cogsci_1998.pdf|In M. A. Gernsbacher and S. J. Derry (eds.), Proceedings of the 20th Annual Conference of
the Cognitive Science Society - Cogsci98, 710-715.}}|


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**Abstract: **I review the purported opposition between computational and dynamical approaches in
cognitive science. I argue that both computational and dynamical notions will be necessary
for a full explanatory account of cognition, and give a perspective on how recent research
in complex systems can lead to a much needed rapprochement between computational and
dynamical styles of explanation

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