The Brain's Super Intelligence Analysis
Deep Structure Studies III
Authored by Winpen Hann, Haina Hwa
There are actually two different directions in the study of neural information analysis and artificial intelligence simulation; one is electroneurographic signal decoding and artificial neural network experimentation, which uses mainstream methods of contemporary neural science, and the other is brain deep-structure analysis and its artificial simulation, which arises from adaptational biology and deep-structure theory. The former has met with an analysis and experimental dilemma because of the connotation-meaning black hole and information explosion. The latter can possibly overcome these two major obstacles and bring new hope and a breakthrough for brain science and super computer research.
The Third Synthesis of Biology
Deep Structure Studies I
Authored by Winpen Hann
Darwinian biology is actually two directions. One is the well-known modern synthesis, which has an enlarged and revised evolutionary model combining the new genetics. Another is derived from the modern synthesis by introducing intraspecific adaptation comparison to microphysiology, creatively explained intraspecies variations, and life-history variations (e.g., adjusted seed size, varied offspring, adjusted reproductive timing, diversified sizes of individuals, adjusted sex determination or sex ratio, altered shape or behavior, regulated life history, transformed organ structures, etc.). This new biology developed very rapidly and is having an intense impact on the whole of life science. This super-synthesis is the third after evolutionism and the modern synthesis.
This book makes a systematic summary on the developments of new biology for recent forty years, and provides richful consulation for biologists to select and grasp the future mainstream of life science.
New Experimental Biology
Deep Structure Studies II
Authored by Winpen Hann
Modern biology has reached its limit in micro-oriented research-e.g., the predicament of the genome explanation project, difficulty in neuro-electro-signal decoding, how to make clear molecular metabolic network, etc. The "complexity" is the symbolization of biological history's inflection point.
There are two brewing developmental directions in contemporary life science. One is the "systematic biology," which plans to synthetize huge quantities of molecular data by computing and systematic simulation. The other is the new innovation of "deep-structure theory" which introduce new concepts of "background modulation" and "vitastate" experimental and analytical models to analyze transformation of physio-morphs. The former might be trapped into trouble by "complexity," while the latter can avoid the information explosion.
This Book has reviewed various schools of biological experiments for nearly 40 years, and developed deep-structure experimental system which open up new road for the major experimental fields of post-genomics, brain science, super AI, knotty diseases and so on.