The Reunification of Science and Philosophy

Introduction

array wiki VeryLargeCurrent philosophy of science pursues a commentary concerning the historical development of the ideas and practices of scientific materialism. If, however, cosmos is not solely physical and, in plain sight, a metaphysical component is identified, then major reappraisal of materialism’s mind-set must ensue. What is this immaterial factor?

Information. Thus, in consequence, the reset button for a mind-set must be pressed. A simple, systematic reunification is essential. The vehicle of this important exercise is, appropriately enough in an age of information and computer logic, of binary mode; and its primary aim is, in the words of Albert Einstein, seeking the simplest possible scheme of thought that will bind together the observed facts. In such venture a physical scientist (where ‘science’ means ‘knowledge’) and metaphysical scientist both seek, by controlled experiment, to find the principles of matter and mind, the outer and inner truths of life and cosmos. Their holy grails are of different quality but, at the same time, their seeker can be one and the same person. Is that person you?

Thrust

Have map, will travel. A good vehicle turns out to be a Theory of Complementary Opposites called Natural Dialectic. ‘Dialectic’ involves to-fro dialogue between opposing views. ‘Natural’ means, in brief, not man-made; and is therefore associated with no particular social, religious or cultural structure. In this case a culture-neutral philosophy is here introduced and related to the equally culture-neutral sciences of psychology, physics, biology and sociology.

Are you interested in a fresh perspective? If so, jump aboard and read ‘The Reunification of Science and Philosophy’, an abbreviation of the larger compendium of works found on this website. And, since information plays a major role in the explanation of our world, we can reasonably compare the structure of our vehicle to a central practice of IT – top-down programming. Programs always start with a purpose; from this heart a systems analyst sketches out associated constituents and arranges them in data models, flow charts and so on. A plan is rigorously developed through stages leading, like the codified steps of a computer algorithm, to its specified result. Thus, like a main routine with switches branching to extend its range, this book with footnotes acts as a kind of cosmic top-down program. How, simply, does it work? Take a look and see.

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Contents

Preface
Lecture 1:    Introduction
Lecture 2:    Information
Lecture 3:    Psychology
Lecture 4:    Physics
Lecture 5:    Biology
Lecture 6:    Community
Glossary
Connections
Index