For most of the 1970s I was by far the biggest user of the biggest computer in the world on route 128 in Boston.
It was supposedly the largest for commercial business purposes although some scientific computers had more compute power such as LBL Berkeley Los Alamos.
The computer was used by hundreds of large banks and companies around the USA and the world so was well-financed.
The computer and disk drives took up more than an acre and was the same brand of computer we used in the Air Force.
I sat near the big diesel engines that kept the computer going when electrical power failed.
Nowadays this is called the cloud.
I set up a web page in March 1973 detailing forecasts for personal income by state.
We called those pages System Notes.
I did not write many of those notes as I preferred to work on the mathematical models generating those forecasts.
I often took the computer “terminal” home with me to work at night because the computer was so slow.
Those “terminals” cost $2000 apiece and printed out results on real paper.
I lived for a time in house that was all black people plush suburban Boston with the only black Air Force Officer in the state.
They had big parties including white strippers.
I had to go back to work and a black MIT student said “a computer jock – I always wanted to meet a computer jock”
MIT was not big on computers back then I guess.
I had some understanding of bits, bytes, and telecommunications and could type somewhat by age 7 or 8.
Computers are natural to me and I was correct that they would become useful for many social purposes.
I often worked with 3 computer terminals at the same time during the day.
At night I would turn on dozens to run Monte Carlo simulations that nowadays are popular in derivatives pricing.
My publication on the subject is dated the same year as another seminal article in Chemistry.
Yesterday I enjoyed thumbing through this chemistry book and wishing economics books would look more like chemistry.
The problem is that human “preferences” are not understood well enough to be modeled.
The blob of chemicals that is a person is a bunch chemical reactions.
I can vary diet, exercise, sleep, entertainment routines to somewhat control those chemical reactions.
Everybody knows some of these impacts but nobody has modeled them well.
Most economists do not study Neuroscience very much or at all.
So the models become disconnected from reality.
This guy’s brain is set up similar to mine but less computational.
Authors: Roman F. Nalewajski (Dept. of Theoretical Chemistry, Jagiellonian University, Cracow, Poland)
The Information Theory (IT) is one of the youngest branches of the applied probability theory, in which the probability ideas have been introduced into the field of communication, control, and data processing. It has originated from the needs of practice, to create a theoretical model for the transmission of information, and evolved into an important chapter of the general theory of probability. An understanding of the distribution of information in molecules and its displacements accompanying chemical reactions, which involve the bond-forming and/or bond-breaking processes, is touched on in this book and provides an alternative perspective on molecular electronic structure. An insight into the entropic origins of chemical bonds and their coupling in chemical phenomena is central to many branches of chemistry.
Table of Contents:
Chapter 1. Introduction to Information Theory, pp. 13-35
Chapter 2. Schrodinger Equations from Fisher Information, pp. 37-61
Chapter 3. Electron Distributions as Carriers of Information in Molecules, pp. 63-76
Chapter 4. Bonded Atoms from Information Theory, pp. 77-95
Chapter 5. Importance of Non-Addictive Information Measures, pp. 97-128
Chapter 6. Orbital Communication Theory of the Chemical Bond, pp. 129-156
Conclusion, pp. 157-158
Appendix A: Information Continuity Revisited, pp. 159-170
Appendix B: Conditional Probabilities from Bond-Projected Superposition Principle, pp. 171-174
Appendix C: Many-State Superposition Perspective, pp. 175-178
Appendix D: Coupling Approach to Many-Orbital Bond Interactions, pp. 179-184
Chemistry Research and Applications
Pub. Date: 2011 – 1st Quarter