Editing Principle of maximum entropy (section)

==History==
The principle was first expounded by [[E. T. Jaynes]] in two papers in 1957,<ref>{{cite journal
 |last=Jaynes |first=E. T. |author-link = Edwin Thompson Jaynes
 |year=1957
 |title=Information Theory and Statistical Mechanics
 |url=http://bayes.wustl.edu/etj/articles/theory.1.pdf 
 |journal=Physical Review
 |series=Series II
 |volume=106 |issue=4 |pages=620–630
 |doi=10.1103/PhysRev.106.620 |mr=87305
|bibcode = 1957PhRv..106..620J }}</ref><ref>{{cite journal
 |last=Jaynes |first=E. T. |author-link = Edwin Thompson Jaynes
 |year=1957
 |title=Information Theory and Statistical Mechanics II
 |url=http://bayes.wustl.edu/etj/articles/theory.2.pdf 
 |journal=Physical Review
 |series=Series II
 |volume=108 |issue=2 |pages=171–190
 |doi=10.1103/PhysRev.108.171  |mr=96414
|bibcode = 1957PhRv..108..171J }}</ref> where he emphasized a natural correspondence between [[statistical mechanics]] and [[information theory]]. In particular, Jaynes argued that the Gibbsian method of statistical mechanics is sound by also arguing that the [[entropy]] of statistical mechanics and the [[information entropy]] of [[information theory]] are the same concept. Consequently, [[statistical mechanics]] should be considered a particular application of a general tool of logical [[inference]] and information theory.