Theory of Critical Total History of Civilization

Abstract

The purpose of this chapter is to define information- based tools for the study of the human story in order to “informate” traditional historic findings. By “informate” one may understand a gain of additional information above that found by traditional processing of historical information, by applying modern cybernetic techniques that allow for the modeling and understanding of complexity. After literature, history is the most universal discipline of knowledge, passionately held (in their own particular versions) by millions of people on Earth. History makes us curious, perhaps because in it resides the puzzle of human existence, its successes and failures. We want to know the past because we want to learn “lessons of history” (Howard, 1991). Hence, history is popular and rich in its public role and its scientific methods are even the subject of philosophical debates. It is still debated, as Hegel (1956) stated, whether history is not chance but is rather a rational process operating according to laws of evolution and embodying the spirit of freedom. The 19th century’s positivism stipulated two roles for historians: to be disinterested observers and to find, in the records of the past, laws of human behavior. The 20th century’s tremendous progress in research and technology has influenced historians to consider history as a pure science with the emphasis on large-scale forces or structures instead of individuals (Breisach, 1983). As we move into the 21st century, new trends in the evolution of civilization, informatization and globalization, guide our awareness. These trends emphasize the application of information engineering skills and offer an expanded picture of human undertakings. The emerging world’s history of civilization in the making is no longer “sequential” and “slow” but now “instant” and “fast.” To understand such a dynamic civilization and take a pro-active role in it, one must develop new skills and new approaches to its study. Perhaps one should take examples from other sciences, for example, physics and chemistry, where modeling is applied in order to discover some common observations, rules, and laws. Of course, models do not completely reflect reality, but they are useful tools in grasping its essence and suggesting further investigations and quests for truth.