Toward Turing's A-type Unorganised Machines in an Unconventional   Substrate: a Dynamic Representation in Compartmentalised Excitable Chemical   Media
  Turing presented a general representation scheme by which to achieve artificial intelligence - unorganised machines. Significantly, these were a form of discrete dynamical system and yet such representations remain relatively unexplored. Further, at the same time as also suggesting that natural evolution may provide inspiration for search mechanisms to design machines, he noted that mechanisms inspired by the social aspects of learning may prove useful. This paper presents initial results from consideration of using 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 to include a fuller set of Boolean functions at the nodes of the recurrent networks. 
Larry Bull, Julian Holley, Ben De Lacy Costello and Andrew Adamatzky
cs.ET