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The Origin of Consciousness in the Breakdown of the Bicameral Mind
National Book Award Finalist: “This man’s ideas may be the most influential, not to say controversial, of the second half of the twentieth century.”—Columbus Dispatch At the heart of this classic, seminal book is Julian Jaynes's still-controversial thesis that human consciousness did not begin far back in animal evolution but instead is a learned process that came about only three thousand years ago and is still developing. The implications of this revolutionary scientific paradigm extend into virtually every aspect of our psychology, our history and culture, our religion—and indeed our future. “Don’t be put off by the academic title of Julian Jaynes’s The Origin of Conscious...
Annual Report
None
Christianity Beyond Christendom
In 1507 Martin Waldseemuller created a remarkable Early Modern world map loaded with religious symbols. The cartographer depicted the papal keys, which according to the map's companion text, the Cosmographiae Introductio, enclosed almost the whole of Europe for the Western Church. However, beyond the boundaries of Europe's Christendom, the map pictured Nestorian churches in China and the legendary Christian ruler Prester John in India. His subsequent Carta marina (1516) amplified the descriptions of these religious traditions. Waldseemuller's maps, like almost every other world map of the era, featured legends of Christian communities positioned outside of Christendom. Christianity Beyond Ch...
How to Find a Needle in a Haystack
Searching for a needle in a haystack is an important task in several contexts of data analysis and decision-making. Examples include identifying the insider threat within an organization, the prediction of failure in industrial production, or pinpointing the unique signature of a solo perpetrator, such as a school shooter or a lone wolf terrorist. It is a challenge different from that of identifying a rare event (e.g., a tsunami) or detecting anomalies because the "needle" is not easily distinguished from the haystack. This challenging context is imbued with particular difficulties, from the lack of sufficient data to train a machine learning model through the identification of the relevant ...
Jack King Jaynes
Autobiography
E.T. Jaynes
The first six chapters of this volume present the author's 'predictive' or information theoretic' approach to statistical mechanics, in which the basic probability distributions over microstates are obtained as distributions of maximum entropy (Le. , as distributions that are most non-committal with regard to missing information among all those satisfying the macroscopically given constraints). There is then no need to make additional assumptions of ergodicity or metric transitivity; the theory proceeds entirely by inference from macroscopic measurements and the underlying dynamical assumptions. Moreover, the method of maximizing the entropy is completely general and applies, in particular, ...
