Evolution

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One aspect of history that I don't often hear about are evolutionary speeds. I believe that may have been one of the pieces of the puzzle that Marx didn't have. What he saw as class struggle was actually a struggle between faster evolving individuals and slow institutions. The more moving parts a complex system has (agents and the connections between them), the slower its evolutionary time scale relative to smaller systems. Single cell organisms such as bacteria evolve very quickly relative to people, and individuals generally evolve much faster than the institutions they create. Evolution happens at the agent level, when choices are made outside the boundaries of contemporary thought. Each of an agent's available choices, the range of free choice, denotes a different evolutionary path. The available choices are a product of previous decisions made by the agent and other agents within the same system. Each agent has a unique set of choices, only available to that agent. Agents do not act in isolation (as most of mainstream economics would have one believe), their decisions are based on local conditions within the system including the decisions of other local agents. Each choice feeds back into the overall system, thereby changing the circumstances each agent faces and their choice sets

The evolution of computer technology makes a good analogy. The computing power produced by large rooms full of millions of dollars worth of extremely complicated equipment, requiring large amounts of electrical energy, can now be produced by very simple and nearly free pocket calculators that run on ambient sun energy. The small smart phone in my pocket contains greater computing power than existed in the entire world just 20 years ago. In another relevant example, this paper will begin with complexity and be edited down to simpler terms in later drafts.

Video games are an evolutionary epoch, the next level of logic programming to simplify the complexity of mathematics so that aging concepts can be compressed and integrated efficiently to achieve the next evolutionary epoch. Complex abstract concepts can be demonstrated and learned far more efficiently with video games. Mathematics has reached the level of complexity that it's difficult for most of society to grasp. This is creating a concentration of intellectual energy and a bottleneck to utilizing the full potential of distributed network intelligence. Video games are a mathematical operating system, simplifying an aging system of abstract calculation that has reached the point that it must evolve efficiency. For the next step to be possible, knowledge must be distributed to diverse individuals for maximum problem solving efficiency.



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