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Complexity Science is NOT a New Scienceby@unicornlaunching
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Complexity Science is NOT a New Science

by MichaelJanuary 12th, 2019
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“Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data” — Michael A Nielson

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Complexity Science is NOT a New Science.

Complexity Science is Evolutionary Ecology.

Evolutionary Ecology = Math x Biology

xkcd

Complexity Science can be expressed in Mathematical and Biological (and therefore Evolutionary Ecological terms).

xkcd

If only you studied your subjects up close.

UnicornLaunching Launches Unicorns Worth Launching

Understand the Overlap of Evolutionary Ecology & Complexity Science & Category Theory

Taking Insults to the Next Level

Taking Insults to the Next Level

The Scientist Who Made Alfred North Whitehead Cool Again

The Master of Category Theory, Bartosz Milewski

The Father of Clojure, Rich Hickey

EVOLUTIONARY ECOLOGY X MATH IN ACTION

Connect with Rraj

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“Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data” — Michael A Nielson

Proof?

Category Theory is a ‘Queen of Mathematics’ that enables us to prove the relationships between Sets in Biology and Sets in Math with Sets from everyday life, from distributed consensus protocols to ad-conversion.

If anything, it would appear that Category Theory is an invention whose Environment (The Fourth Industrial Revolution & Fabric) has come (about). We finally have the Human and IoT Data we need to understand what’s happening in our world at the assembly level. Turns out that assembly is written in math and biology.

Conway’s law is an adage named after computer programmer Melvin Conway, who introduced the idea in 1967. It states that “organizations which design systems … are constrained to produce designs which are copies of the communication structures of these organizations.” — M. Conway (Wikipedia)