Introduction to Evolutionary Informatics fuses
results from complexity modeling and information theory that allow both
meaning and design difficulty in nature to be measured in bits. Built on
the foundation of a series of peer-reviewed papers published by the
authors, the book is written at a level easily understandable to readers
with knowledge of rudimentary high school math. Those seeking a quick
first read or those not interested in mathematical detail can skip
marked sections in the monograph and still experience the impact of this
new and exciting model of nature's information.
This book is
written for enthusiasts in science, engineering and mathematics
interested in understanding the essential role of information in closely
examined evolution theory.
Readership: General / Popular; Enthusiasts in science, engineering and apologetics and to those interested in the information theoretic components of closely examined evolution.