Evolving Interaction Sample Clauses

Evolving Interaction. With all due respect to the people that believe our earth is no older than 6,000 years, the general consensus is clear: Evolution is real. The over- whelming evidence points to a common ancestor with apes about 5-8 million years ago. Evolution gradually changed us from a tree climbing leaf eater to a car driving hamburger lover. It made us walk upright, loose most of our hair and it might even have made us aware of ourselves. Evolution has per- formed miracles, but not only for our own species. Any natural history mu- seum has a whole collection of extinct species that appeared on this earth in the past for no (apparent) other reason than that they evolved from slightly different (often more primitive looking) species. Dinosaurs, birds, fish, frogs, flies, flowers, trees, even the bacteria and single celled organisms that keep you alive by digesting your food and protecting your skin; they all seem to have come into being through the process of evolution. Even though our un- derstanding of our world has been increasing almost exponentially the past 60,000 years, science will probably never fully explain why evolution exists, but it seems to be a pretty good method to sustain life throughout changing environmental conditions. In a way evolution is nature’s search algorithm for improving life’s chances. The parallel between evolution in nature and search algorithms in computer science at first may seem like a stretch, but that is mainly due to the ‘un- natural’ characteristics of a computer. Many sciences have been inspired by nature and computer science in no exception to that. The field that studies computer science (and algorithms in particular) inspired by nature is aptly called ‘Natural Computation’. It studies for instance the intricate way the neurons in the brain work and how abstract computer generated simula- tions of brain cells (Neural Networks) can learn and solve problems that seemed outside of the realm of computers before. It studies how simple cells live and crystals grow and how to build models to simulate, predict and ap- ply these phenomena in other fields. Natural Computation also studies the process of evolution and in particular its application in search algorithms. The group of algorithms in computer science inspired by evolution in nature is called ‘Evolutionary Algorithms’. Evolutionary Algorithms work by simulating an abstract form of natural evolution to find a better solution to a hard problem. In nature evolution works with a ri...
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