# Irving John Good

Irving John Good is a person

**AKA:**I. J. Good.**See:**Mathematician, Cryptologist, Bayesian Statistics, Superhuman Intelligence Emergence Period.

## References

### 2014

- (Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/I._J._Good Retrieved:2014-12-27.
**Irving John**("**I. J.**"; "**Jack**")**Good**(9 December 1916 – 5 April 2009)^{[1]}^{[2]}was a British mathematician who worked as a cryptologist at Bletchley Park with Alan Turing. After World War II, Good continued to work with Turing on the design of computers and Bayesian statistics at the University of Manchester. Good moved to the United States where he was professor at Virginia Tech.

He was born Isadore Jacob Gudak

**to a Polish Jewish family in London. He later anglicized his name to Irving John Good and signed his publications "**I. J. Good.”An originator of the concept now known as “technological singularity," Good served as consultant on supercomputers to Stanley Kubrick, director of the 1968 film

*2001: A Space Odyssey*.

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- ↑
The Times of 16-apr-09, http://www.timesonline.co.uk/tol/comment/obituaries/article6100314.ece

### 1965

- (Good, 1965b) ⇒ Irving John Good. (1965). “Speculations Concerning the First Ultraintelligent Machine.” In: Advances in computers Journal, 6(31).
- (Good, 1965a) ⇒ Irving John Good. (1965)."The Estimation of Probabilities: An essay on modern Bayesian methods." MIT press.
- OVERVIEW: The problem of how to estimate probabilities has interested philosophers, statisticians, actuaries, and mathematicians for a long time. It is currently of interest for automatic recognition, medical diagnosis, and artificial intelligence in general. The main purpose of this monograph is to review existing methods, especially those that are new or have not been written up in a connected manner. The need for nontrivial theory arises because our samples are usually too small for us to rely exclusively on the frequency definition of probability. Most of the techniques described in this book depend on a modern Bayesian approach. The maximum-entropy principle, also relevant to this discussion, is used in the last chapter. It is hoped that the book will stimulate further work in a field whose importance will increasingly be recognized.

### 1958

- (Good, 1965a) ⇒ Irving John Good. (1958). “The interaction algorithm and practical Fourier analysis.” In: Journal of the Royal Statistical Society. Series B (Methodological).