The Three Eminent and Enigmatic
1750-1968
Thomas Bayes, Alan Turing, George Maciunas
Bayesian Statistical Reasoning: an inferential, predictive and decision-making paradigm for the 21st century
Bayes’ Theorem, Computing Machine and Intelligence,
Learning Machine, Improving Education
Conceptual Web Exhibition
Press Release
Essay – Knowledge as Art: Chance, Computability, and Improving Education
Thomas Bayes
Bayesian Statistical Reasoning: an inferential, predictive and decision-making paradigm for the 21st century by Professor David Draper, PhD
A History of Bayes’ Theorem
The Promise of Bayesian Inference for Astrophysics by T. J. Loredo
An Introduction to the Doctrine of Fluxions, and a Defence of the Mathematicians Against the Objections of the Author of The Analyst (1736)
The Life and Work of Thomas Bayes
Sharon Bertsch MacGrayne:”The Theory That Would Not Die” How Bayes’ Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy”
Alan Turing
Alan Turing (Stanford Encycropedia of Philosophy)
Turing Machines (Stanford Encycropedia of Philosophy)
COMPUTING MACHINERY AND INTELLIGENCE By A. M. Turing
On Computable Numbers, With An Application To The Entscheidungsproblem
George Maciunas
3 Paintings from 1950′s
Contemporary Man
Proposals of Art Education
Maciunas’ Learning Machine: LEARNING IN THE AGE OF ENLIGHTENMENT by Astrit Schmidt-Burkhardt
