Serpwidgets
New member
I'm all giddy about the link above that I posted. I'll tell you why...
In the kingdom of Human Pursuits (entertainment, money, love, happiness, etc.) there are several phyla.
One of these is Phylum: Disciplines. It includes skills that are developed. these can be thinking/analyzing, engineering, athletics, arts, etc.
In this phylum is the Class of Ideas. It involves things that are learned, discovered, studied, and includes religion, philosophy, and science.
In the Cass of ideas is the Order "Science." It includes math, chemistry, biology, astronomy, physics, medicine, etc.
One branch of this Order is the Family of Mathematics. This involves calculating/manipulating numbers, such as arithmetic, algebra, geometry, calculus.
In the Family of Math a new genus has recently come about. Genus: Algorithmics is where calculations/manipulations are made through the use of loops, logical branching, and feedback. This genus was made practical by the proliferation of computers, and includes the quickly evolving fields of games, data compression, simulators, and artificial intelligence, to name a few.
Within this genus -- because of replication, mutation, and competition in the arena of scientific ideas -- a new Species, Evolution, has come about.
Thanks to programs like Avida, the process of evolution -- which was generally only considered in the context of biology -- can now be studied as a form of pure mathematics. As such, it will be able to establish connections between input and output. That is -- just like with Geometry -- postulates, theorems, and proofs regarding evolving systems will emerge from this new branch of math. Through this, we will be able to understand the relationships between different parameters, how each affects or does not affect the others. We can do this in a system where all parts are known and individual parts can be changed in controlled experiments, instead of trying to piece together parts of a humungous puzzle (many of which will never be found) from a single instance. Ideally, we will learn a great deal about how all of the parts interact to produce a predictable "deterministic" output.
This math may not apply in a forward "deterministic" way to life on Earth because life involves random mutation, nor will it necessarily apply in a backward "deterministic" way because we are only looking at a tiny piece of the entire picture. But I think one thing it will prove is that life, as something which is subject to replication/mutation/competition, does evolve. On a higher level it will definitely allow us to see the picture more clearly because we will be able to relate well-established "proofs" and "rules" and "laws" to the process.
Like any science has, I think it will also find use in applications we currently cannot even imagine. I don't think anyone had imagined that trying to measure our velocity upon an "ether" would have led us to discover the means to understand and utilize the release of nuclear energy. I am very excited over what this new branch of mathematics, which is still in its infancy, might have in store for us.
In the kingdom of Human Pursuits (entertainment, money, love, happiness, etc.) there are several phyla.
One of these is Phylum: Disciplines. It includes skills that are developed. these can be thinking/analyzing, engineering, athletics, arts, etc.
In this phylum is the Class of Ideas. It involves things that are learned, discovered, studied, and includes religion, philosophy, and science.
In the Cass of ideas is the Order "Science." It includes math, chemistry, biology, astronomy, physics, medicine, etc.
One branch of this Order is the Family of Mathematics. This involves calculating/manipulating numbers, such as arithmetic, algebra, geometry, calculus.
In the Family of Math a new genus has recently come about. Genus: Algorithmics is where calculations/manipulations are made through the use of loops, logical branching, and feedback. This genus was made practical by the proliferation of computers, and includes the quickly evolving fields of games, data compression, simulators, and artificial intelligence, to name a few.
Within this genus -- because of replication, mutation, and competition in the arena of scientific ideas -- a new Species, Evolution, has come about.
Thanks to programs like Avida, the process of evolution -- which was generally only considered in the context of biology -- can now be studied as a form of pure mathematics. As such, it will be able to establish connections between input and output. That is -- just like with Geometry -- postulates, theorems, and proofs regarding evolving systems will emerge from this new branch of math. Through this, we will be able to understand the relationships between different parameters, how each affects or does not affect the others. We can do this in a system where all parts are known and individual parts can be changed in controlled experiments, instead of trying to piece together parts of a humungous puzzle (many of which will never be found) from a single instance. Ideally, we will learn a great deal about how all of the parts interact to produce a predictable "deterministic" output.
This math may not apply in a forward "deterministic" way to life on Earth because life involves random mutation, nor will it necessarily apply in a backward "deterministic" way because we are only looking at a tiny piece of the entire picture. But I think one thing it will prove is that life, as something which is subject to replication/mutation/competition, does evolve. On a higher level it will definitely allow us to see the picture more clearly because we will be able to relate well-established "proofs" and "rules" and "laws" to the process.
Like any science has, I think it will also find use in applications we currently cannot even imagine. I don't think anyone had imagined that trying to measure our velocity upon an "ether" would have led us to discover the means to understand and utilize the release of nuclear energy. I am very excited over what this new branch of mathematics, which is still in its infancy, might have in store for us.