Change blindness as described in the book Invisible Gorilla, talks about how we long for continuity. However, in this blog post I argue that this pattern matching classification is done to overlook elements in sound. Naturally we each have a certain range of activities that go unnoticed. Sometimes this varies from person to person, a common example being tinnitus. Like light, sound is often measured in how it is different from one element to the next such as pitch. Sound appears unified until broken apart by a prism called a spectrometer. This helps us figure out what the light emitting object is constructed and composed. We are unable to tell boundaries is two fold. First the mind likes unifying patterns into things it can understand and find patterns between two "corresponding" events. This is so we can communicate what it is we saw. This is despite the entrophy and separations posed by natural limitations such as quantum mechanics in harmonic wave functions The second reason is pink noise also known as Brownian motion or noise that we disregard as background noise. This is what audiologists call masking and can dampens boundaries between two events in sound. However, I am uncertain that most pink noise is extraneous. It could provide useful clues as to the context of the speech. By harmonic analysis and studying representational theory. This can be explored in the study of continuous-time Markov chain. This uses the analogy of how elements combined in a certain way makes a chemical reaction. Grammar is different and cannot be measured by finite states but rather provide a framework of rules for processing. Rather it can be seen as a horde of ants interacting and otherwise affecting their evolutionary walks. Naomi Chomsky talked about how rules do not necessarily guarantee a sentence. For example the notion that "Green colorless ideas sleep furiously" is a sentence is simply unsound. David Ben-Zvi uses a concept he describes as the x-games to describe infinitesimal generator matrix. By using differentials to study the elements in an evolution of sounds. In my papers I've discussed the benefits of starting to play musical instruments as a younger person (some would argue ideally preschool aged). This is because it raises the awareness and attention of the threshold between two different events musically.
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.
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