My work in Cognition led me to the conclusion that the brain (specifically the cerebral cortex) was built on a very specific algorithm.  The conclusion provided such an elegant solution to the Cognition problem that I was convinced of its accuracy.

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My work on Epistemology and Artificial Intelligence converged when I faced a specific problem in my Epistemology research.  Specifically, I needed a method or process by which the human brain would prioritize certain data.  Let me put it in context:

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My work in Epistemology started out as a simple question, “how can two people, holding diametrically opposed viewpoints, both firmly believe that they are right?” At the time, the most relevant and visible questions were political.  However, the 40th anniversary of the moon landing provided an excellent opportunity to challenge the status quo.

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My interest in artificial intelligence started young.  It was pretty easy when your early exposure to science fiction was Data (an android character on Star Trek) and reading the complete fiction of Asimov (who actually coined the word robot).

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One of my first major research projects developed during my MBA.  A fascination with economics slowly crystallized into a specific study of Monetary Economics.  I think the most revealing anecdote was my effort to acquire a 1956 issue of International Economic Papers where Schumpeter (famous for coining the term “creative destruction”) discussed his theory on money.

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