3rd Task: Difference between revisions

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It is easy to see the reflections of the Computational Equivalence Principle in Richard Dawkins Biomorphosis, Thomas Ray’s Tierra project, and Karl Sim’s virtual creatures.

I always have an impression that everything in the universe is too complicated and doesn’t give too much chance to ~~compute~~. Evolutionary biologist Thomas Ray makes this comparison as the genetic language consists of an alphabet of 20 letters and a computer language has many. He takes inspiration from natural science and uses computer science to solve problems. Not only algorithms, but he also distinguishes the inside of a computer as a physical system by making an analogy of the sun, the source of energy, as CPU and creatures living in the memory. This also supports Wolfram’s idea of a close correspondence between physical processes and computations. Like the Computational Equivalence principle, Thomas Ray seems to build very complex ecological phenomena with his very simplified computer program.

I always have an impression that everything in the universe is too complicated and doesn’t give too much chance to be computed. Evolutionary biologist Thomas Ray makes this comparison as the genetic language consists of an alphabet of 20 letters and a computer language has many. He takes inspiration from natural science and uses computer science to solve problems. Not only algorithms, but he also distinguishes the inside of a computer as a physical system by making an analogy of the sun, the source of energy, as CPU and creatures living in the memory. This also supports Wolfram’s idea of a close correspondence between physical processes and computations. Like the Computational Equivalence principle, Thomas Ray seems to build very complex ecological phenomena with his very simplified computer program.

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 It is easy to see the reflections of the Computational Equivalence Principle in Richard Dawkins Biomorphosis, Thomas Ray’s Tierra project, and Karl Sim’s virtual creatures.
-I always have an impression that everything in the universe is too complicated and doesn’t give too much chance to compute. Evolutionary biologist Thomas Ray makes this comparison as the genetic language consists of an alphabet of 20 letters and a computer language has many. He takes inspiration from natural science and uses computer science to solve problems. Not only algorithms, but he also distinguishes the inside of a computer as a physical system by making an analogy of the sun, the source of energy, as CPU and creatures living in the memory. This also supports Wolfram’s idea of a close correspondence between physical processes and computations. Like the Computational Equivalence principle, Thomas Ray seems to build very complex ecological phenomena with his very simplified computer program.
+I always have an impression that everything in the universe is too complicated and doesn’t give too much chance to be computed. Evolutionary biologist Thomas Ray makes this comparison as the genetic language consists of an alphabet of 20 letters and a computer language has many. He takes inspiration from natural science and uses computer science to solve problems. Not only algorithms, but he also distinguishes the inside of a computer as a physical system by making an analogy of the sun, the source of energy, as CPU and creatures living in the memory. This also supports Wolfram’s idea of a close correspondence between physical processes and computations. Like the Computational Equivalence principle, Thomas Ray seems to build very complex ecological phenomena with his very simplified computer program.
 (will be updated...)