ABSTRACT
C. E. Shannon proposed a quantitative measure of the amount of information or uncertainty supplied by a probabilistic experiment. A significant connection exists between the entropy notion in thermodynamics and information/uncertainty ideas. Use of information entropy (IE) in analytical chemistry originates from the idea: every analysis is a process of obtaining information about quali/quantitative sample composition or analyzed-substance structure. Matter exploration in small regions and at short time intervals revealed the existence of reduced-size systems and new processes that happen at those scales. Microsystems are not simply macrosystems miniatures, but they have their own structures and functions. Claude Shannon and Larrea Lozano studied genes IE variation during evolution and its involvement in the theoretical explanation of evolutionary processes. Evolving-population organisms tend to self-organization and complex-structures creation. The open issues are: attention to problems of hierarchy, stochastic-conditioning levels in the functioning of artificial-intelligence elements.
