The Conditional Sequence Information Function
Abstract
Problem statement: A great deal of attention has been given to the theory of information. It has found its applications in science especially in the area of Biothecnology. Previous studies on the subject has been limited to either conditional or sequence problem solving. This study combines both conditional and sequence properties of the information function. By doing this, researchers can find solutions to more problems that are applicable in real life. Approach: First, properties of the dynamical systems and the information function defined by Shannon has been provided, Then, the conditional sequence information function of a dynamical system together with its proof was presented. Result: This new function now exists now and ready for the use in many real life problems such as finding solutions to DNA sequence with conditional sickness. Conclusion: This new function created opens a new avenue to researches in solving more complex problems by using its developed properties.
DOI: https://doi.org/10.3844/jmssp.2010.89.91
Copyright: © 2010 Osman Guzide. This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Entropy
- dynamical systems
- information function
- conditional sequence information function