~ Est. 1991 ~

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Welcome to Main & Wall University

The Institute for Modular-Finance...

~ Complexity Science - Systems Thinking & Orgel's Rules Applied to The World of Finance ~

"Formal education will make you a living; self-education will make you a fortune" ~ Jim Rohn


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A Brief History Of Intelligence


From Newton to Einstein...
From Smith to Darwin...

From Friedman to Freeman...
From Modern to Modular...

"The modern world began on 29 May 1919 when photographs of a solar eclipse, taken on the island of Principe off West Africa and at Sobral in Brazil, confirmed the truth of a new theory of the universe. It had been apparent for half a century that the Newtonian cosmology, based upon the straight lines of Euclidean geometry and Galileo's notions of absolute time, was in need of serious modification. It had stood for more than two hundred years. It was the framework within which the European Enlightenment, the Industrial Revolution, and the vast expansion of human knowledge, freedom and prosperity which characterized the nineteenth century, had taken place. But increasingly powerful telescopes were revealing anomalies. In particular, the motions of the planet Mercury deviated by forty-three seconds of arc a century from its predictable behavior under Newtonian laws of physics. Why?

In 1905, a twenty-six-year-old German Jew, Albert Einstein, then working in the Swiss patent office in Berne, had published a paper, "On the electrodynamics of moving bodies", which became known as the Special Theory of Relativity. Einstein's observations on the way in which, in certain circumstances, lengths appeared to contract and clocks slow down, are analogous to the effects of perspective in painting. In fact the discovery that space and time are relative rather than absolute terms of measurement is compatible, in its effect on our perception of the world, to the first use of perspective in art, which occurred in Greece in the two decades c. 500-480 BC."

Hat tip ~ Paul Johnson, MODERN TIMES

Economists Don’t Understand That Life is Relative

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Complex Adaptive Systems

Ant colonies, bird flocks, rain forests, business, organizations, communities the stock market and the global economy all have something in common. They are complex adaptive systems. Complex means composed of many parts which are joined (literally "twisted) together. Adaptive refers to the fact that all living systems dynamically adapt to their constantly changing environments as they strive to survive and thrive. And Systems means everything is interconnected and interdependent.

"Complexity" represents the middle area between static order on one end and chaos at the other. Thus complexity is sometimes called the edge of chaos. If we think of static order as ice and chaos as water vapor, complexity would be liquid water. Using powerful computers, scientists from a wide range of fields - including a number of Nobel prize winners - have developed computer models that simulate - on the screen - the evolution and changes that occur as complex adaptive systems move, adapt, survive and thrive - or - if their strategies are wrong - die.

Unlike non-adaptive complex systems, like the weather, complex adaptive systems have the ability to internalize information, to learn, and to modify their behavior (evolve) as they adapt to changes in their environments. In other words, they have brains, they are intelligent systems.

Hat tip ~ Codynamics - www.codynamics.net

Complexity Economics -
Complexity Economics is the application of Complexity Science to the Problems of Economics. It is one of the four C's of a new paradigm surfacing in the field of economics. The four C's are Complexity, Chaos, Catastrophe and Cybernetics.

Systems Thinking

Perhaps the most successful learning technique we are taught as we are growing up is the method of analysis by decomposition, in which we break complex things down to the level where we can understand the individual parts. This works for many things, but for dynamic systems, particularly those that involve humans, the usual effect is to squeeze out some of the most important features.

Systems Thinking is an approach that draws attention to connections among the parts, particularly focusing on how the elements of a system feed back to one another, both creating extroadinary patterns of growth (amplifying feedback) and providing ways to control the system (regulating feedback).

Design Thinking

Design Thinking is a formal method for practical, creative resolution of problems and creation of solutions, with the intent of an improved future result. In this regard it is a form of solution based or solution focused thinking - starting with a goal ( a better future situation) instead of a specific problem. By considering both present and future conditions and parameters of the problem, alternative solutions may be explored simultaneously. Nigel Cross aserted that this type of thinking oftens happens in the built, or artificial, enviornment (as in artifacts).

This approach differs from the analytical scientific method, which begins with thoroughly defining all the parameters of the problem in order to create a solution. Design thinking identifies and investigates with both known and ambiguous aspects of the current situation in order to discover hidden parameters and open alternative paths which may lead to the goal. Because design thinking is iterative, "intermediate solutions" are also potential starting points of alternative paths, including redefining of the initial problem.

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