Who is Randy Abbott?
I was born in Nashville “The Athens of The South” as the city is called, to a family that has lived in either Virginia, North Carolina, Kentucky, or Tennessee since the 1750s. I love the stillness and solitude of forests and mountain streams far away from the hustle and bustle of urban living. I was an avid reader as a child and teenager engrossed in astronomy, geography, history, and science fiction. It was a childhood dream of mine to be a Rocket Scientist. I had a few science fair projects in middle school based on the Saturn V rocket and the Apollo Lunar Module of the late 1960s and early 1970s American space program.
I grew up spending the summers in Kentucky, the rest of the year in Ohio with my blue-collar parents, and eventually as an adult moving to Michigan on my own for some years before moving back to Ohio to attend the Kent State University Twinsburg Campus in 2012. While in Michigan, I acquired an interest in Italianate,Romanesque, Queen Anne Victorian and Victorian Stick Architecturally designed houses and buildings. Older cities are always interesting to me as driving through them while looking at the various styles of architecture represented in the houses and buildings of their historical districts is something in the way of preparation for one of my dreams in owning and restoring such kinds of houses. I graduated in 2015 with an Associate of Arts and Bachelor of Integrative Studies degree (computer technology, philosophy, and psychology) before being accepted into The School of Digital Sciences M.D.S. program at Kent State University. The prospective graduation date for the program I am enrolled into is December, 2017.
As a graduate student in The School of Digital Sciences at Kent State University, I study data science. My interests are in information structures and how these structures are determined by what kinds of processes and/or probabilities? Some of these processes and probabilities are structured by our neurobiological propensity for representing our perceptions as associations between sensory stimuli due to proximity in space and time to each other. It is the learned associations that are represented in our neurobiology apart from any atypical physiological conditions to the contrary.
Some years ago as an undergraduate student at Kent State University, I noticed common themes in a number of my papers. A lot of my papers as to their subject matter, were about how people learn inductively by pure experience when very young and how these experiences create the structure of mental associations that mirror these associations as the function of how these structures work. The function of these information structures is that very structure of the information.
Fast forward to the present time; I have become convinced there is a way to successfully model inference through the simulation of inductive learning as functions modeling kinds of probabilistic structures of information. One can describe my interests and what I hope to accomplish as this: I want to teach machines how to learn as a demonstration of how learning inductively structures the nature of information and of how we learn to use information in its application to reality.