Landscape archaeology and artificial intelligence. The neural hypersurface of the Mesopotamian urban revolution

Since the 1990s, there has been an unceasing debate over computer semiotics as an autonomous discipline aimed at establishing the function of the logical operators of programming and computing. In fact, the structural and semantic encoding of the analytical object also comprise one of the main trends in Natural Computing (nc) and in the fast-moving field of computer science. Moreover, the possible encoding of the historical, archeological, anthropological, aesthetic, and linguistic records and contexts as a minimum unit of meaning (sema) defined a new epistemic perspective in ancient world studies. This new epistemic perspective, which currently also can be considered a recent branch of the digital humanities, is interested in translating the complex systems of the past into systems of signs and in turning each sign into a point (site) and node (or cell) composing many artificial formal networks. The present contribution introduces the theoretical and experimental approaches in encoding the complexity of the Mesopotamian Urban Revolution as an artificial network and in simulating the multifactorial relationships of this network with the biological computing of the Artificial Adaptive Systems (AAS).