Open logic computation on self-referential symbols with application to environmental complexity evaluation

A computation scheme is presented for simulating interactive perception process. The scheme projects a fixed set of formal proposition onto object codes. Through iterations of projection, the scheme generates a network of self-referential symbols as a representation of context. In the symbol network, indicatable symbols are detected to estimate process complexity. A parallel distributed version of the scheme is implemented and verified through simulation studies. Simulated environmental complexity yields a time evolution similar to that of actual mental processes.