To summarize: the blackboard algorithm combined with a neural network is a good approach to the complexity of sound. In order to fully appreciate the significance of each node, we not only need what is preceding it but what is going on simultaneously that provide clues as to what might happen in the future. In my paper I suggest that one reason why people have difficulty speaking is that their mind is not able to function and keep up with everything. In this area I believe computers can excel because as computers become more powerful, they can surpass human's attention spans.
The ants marching in a row is a nice picture but seldom happens because of the simultaneous complex world we live in.
I am reading more math books in order to be able to grasp the differential equations that are needed to study the flow of words.
I am confident that with the emerging field of multi-processor concurrency and abandoning the idea of having a master core and adopting a system more like the brain of adopting many neurons firing electrical signals would bear success in the years to come. There is a consensus and each core is aware of what is going on.