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dc.contributor.advisorMarks, Robert J., II (Robert Jackson), 1950-
dc.contributor.authorEwert, Winston.
dc.date.accessioned2013-09-24T14:18:50Z
dc.date.available2013-09-24T14:18:50Z
dc.date.copyright2013-08
dc.date.issued2013-09-24
dc.identifier.citationEwert, W., Dembski, W. A., and Marks II, R. J. "On The Improbability of Algorithmic Specified Complexity." 2013 IEEE 45th Southeastern Symposium on System Theory: SSST (2013).en_US
dc.identifier.citationEwert, W., Dembski, W. A., & Marks II, R. J. "Algorithmic Specified Complexity." Engineering and Metaphysics, (2012).en_US
dc.identifier.urihttp://hdl.handle.net/2104/8829
dc.description.abstractInformation theory is a well developed field, but does not capture the essence of what information is. Shannon Information captures something in its definition of improbability as information. But not all improbable events convey information. Kolmogorov complexity captures the idea of information as something easily described. But not all easily described objects are information. The proposed Algorithmic Specified Complexity takes into account both Shannon Information and Kolmogorov complexity to gain a fuller evaluation of information. We demonstrate this concept and develop several examples. We show the low probability of high Algorithmic Specified Complexity. We apply the concept to both images and functional machines from the Game of Life.en_US
dc.language.isoen_USen_US
dc.publisheren
dc.rightsBaylor University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact librarywebmaster@baylor.edu for inquiries about permission.en_US
dc.subjectInformation.en_US
dc.subjectAlgorithmic specified complexity.en_US
dc.subjectKolmogorov complexity.en_US
dc.titleAlgorithmic specified complexity.en_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.rights.accessrightsWorldwide access.en_US
dc.rights.accessrightsAccess changed 10/4/18.
dc.contributor.departmentElectrical and Computer Engineering.en_US
dc.contributor.schoolsBaylor University. Dept. of Electrical and Computer Engineering.en_US


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