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Technoculture

My focus today is aimed at building upon the culmination of my research, toward a unified theory of integrated information or Technoculture. I define Technoculture as “living technology”, recognizing that all technology (tools, cultures, customs, traditions, social systems, etc.) emerge from & interact with living systems. This includes living organisms that could be considered “conscious”. With this, we propose that cultural media & expression represent a time-bound record of universally evolving consciousness (i.e. self-stimulation) through Technoculture.  Supported by research in mathematics, physics, biochemistry, culture theory, information theory, quantum gravity theory, and more, we show that Technocutlure emerges from complex living systems, and work to examine the implications of this as it relates to the development of new integrative platforms, systems & products.

This body of research establishes the foundation for an ever-evolving, decentralized, second-life platform called Communion.


Technoculture as Living Technology:
Toward a Unified Theory of Integrated Information

by Branden Collins, with contributions from Communion, O Corp

Introduction:

The Kekulé Problem: Where did language come from?
How Information Helps Us Understand the Fabric of Reality
Aeon Essays: How Social & Physical Technologies Collaborate to Create
Kevin Kelly, Technium Unbound

Information theory is the scientific study of the quantification, storage, and communication of digital information. The field was fundamentally established by the works of Harry Nyquist and Ralph Hartley, in the 1920s, and Claude Shannon in the 1940s. The field is at the intersection of probability theory, statistics, computer science, statistical mechanics, information engineering, and electrical engineering.

A key measure in information theory is entropy. Entropy quantifies the amount of uncertainty involved in the value of a random variable or the outcome of a random process. For example, identifying the outcome of a fair coin flip (with two equally likely outcomes) provides less information (lower entropy) than specifying the outcome from a roll of a die (with six equally likely outcomes). Some other important measures in information theory are mutual information, channel capacity, error exponents, and relative entropy. Important sub-fields of information theory include source coding, algorithmic complexity theory, algorithmic information theory and information-theoretic security.

Applications of fundamental topics of information theory include source coding/data compression (e.g. for ZIP files), and channel coding/error detection and correction (e.g. for DSL). Its impact has been crucial to the success of the Voyager missions to deep space, the invention of the compact disc, the feasibility of mobile phones and the development of the Internet. The theory has also found applications in other areas, including statistical inference, cryptography, neurobiology, perception, linguistics, the evolution and function of molecular codes (bioinformatics), thermal physics, molecular dynamics, quantum computing, black holes, information retrieval, intelligence gathering, plagiarism detection, pattern recognition, anomaly detection and even art creation.

(via. Wiki)