How Language Could Have Evolved

This paper begins to develop a biologically inspired computational model of the Human language faculty and some associated thought processes. This model is developed starting from a simple proto-language, which humans are assumed to have inherited at speciation. This proto-language consists of single symbol exchange using a small set of symbols; similar to the observed gesturalDel Signore K. communication systems in the existing Great Ape families. Computationally, the model is built using a single class with the form of a Markov graph node. Instances of this node class are used to symbolically represent words. The model is built iteratively in main() as a single graph. Nodes are added to this graph using a merge, or conjunctive join, operation between any two existing nodes, notionally labeled as head and copy. A simple first order graph is developed which is hypothesized to be common to all Mammals and to generate shared mammal behaviors. This graph is then extended to allow for more complex human language and thought processes.