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Turing presented a general representation scheme by which to achieveartificial intelligence - unorganised machines. Significantly, these were aform of discrete dynamical system and yet such representations remainrelatively unexplored. Further, at the same time as also suggesting thatnatural evolution may provide inspiration for search mechanisms to designmachines, he noted that mechanisms inspired by the social aspects of learningmay prove useful. This paper presents initial results from consideration ofusing Turing's dynamical representation within an unconventional substrate -networks of Belousov-Zhabotinsky vesicles - designed by an imitation-based,i.e., cultural, approach. Turing's representation scheme is also extended toinclude a fuller set of Boolean functions at the nodes of the recurrentnetworks.

Toward Turing's A-type Unorganised Machines in an Unconventional Substrate: a Dynamic Representation in Compartmentalised Excitable Chemical Media