Set-based Complexity and Biological Information

摘要: It is not obvious what fraction of all the potential information residing in molecules and structures living systems significant or meaningful to system. Sets random sequences identically repeated sequences, for example, would be expected contribute little no useful a cell. This issue quantitation important since ebb flow biologically essential our quantitative understanding biological function evolution. Motivated specifically by these problems information, we propose here class measures quantify contextual nature sets objects, based on Kolmogorov's intrinsic complexity. Such discount both redundant are inherent that they do require defined state space information. The maximization this new measure, which can formulated terms universal distance, appears have several interesting properties, some illustrate with examples.