Great Question: Part V - Evolution as an algorithm

Continuation of Great Question: Part IV.

Third problem: Evolution of intelligence

Perhaps most intriguing problem, is there a natural way for intelligence to originate from the evolution? We associate intelligence with self awareness and ability to think, but we do observe intelligent behaviors in living systems that don’t even have a central nervous system.

Bees and ants form massive colonies that behave in a very intelligent manner in most essential to colony survival activities, such as search for food, fighting enemies and procreation, all without a central intelligence host. Queens are essential for reproduction and for genetic makeup but not for making a myriad “operational” decisions. Now we have evidence that plants and trees react to sounds to boost their defenses against invading insects or adjust their roots paths to find source of water.

I propose to view natural selection as a giant “Monte Carlo” simulation that is based not on computer simulation, but on actual trial and errors in living organisms. Trial and errors resulting in perishing of cells, organisms and entire species in order to gain knowledge on how to survive viruses, parasites and catastrophic changes in the environment. The Monte-Carlo algorithm is a randomized simulation with given probability of various events. In computational math it is used to test if a given number is a primary. In physics it is used to compute a probability of interactions between elementary particles during collisions in high energy particle colliders.

In that formulation, an evolution becomes a survival algorithm, whose ultimate goal is to anticipate and formulate correct survival strategies to the future calamities by using the knowledge of past events.

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Outline

Evolution Lemmas