Science has made great strides in modeling space, time, mass and energy in the recent years at a neck-breaking pace, accelerated by computational advancement. Yet little attention has been paid to the digital representation of this information and knowledge, in terms of storage capacity, information efficiency, reliability, and security.Extracted from a series of peer-reviewed papers published by the authors, Introduction to Evolutionary Informatics puts together results in information theory that now allow meaning and design difficulty to be measured, ranging across a wider spectrum of subjects - from biology to bit units.Introduction to Evolutionary Informatics will appeal to enthusiasts in science, engineering and apologetics, as well as those interested in the information-theoretic components of closely examined evolution. The book is written at a level understandable to readers with knowledge of rudimentary high school math.