TOF : Anthropic Consciousness
Posted: Mon May 17, 2021 1:15 pm
Anthropic Principle meets consciousness
https://thephilosophyforum.com/discussi ... ousness/p1
How can genetic accidents and random mutations explain such complexity? — 3017amen
Scientists used to focus on the Random Mutation element of Darwinian Evolution, probably because it eliminated any notion of divine creation. But, especially since the Information Age, more attention has been paid to Natural Selection, as a means to choose from among the novel structures produced by accidental aggregation. Now scientists are using the basic principles of Evolution to design systems that will try millions of options virtually, in order to select the one that produces the best fit for their stated purposes.
Those programmers must begin by establishing Initial Conditions as a starting point that seems to be close to the desired outcome, Then they add Rules & Standards (laws) to guide the program in the right direction. But the actual processing of that setup information is basically a random sequence of trials & errors, and re-tries, as the imperfections are weeded-out. The final solutions are often unexpected, and somewhat complex, but tend to be less complicated than some of the rejected options. So, the goal is not complexity per se, but optimum organization of components. The Intelligence of the programmer is encoded into the program to serve as a value system to guide the selection mechanism. The selection criteria (choices) are able to extract functional organization from dysfunctional disorder.
If you think of Natural Evolution as a program, with pre-set limits (conditions), and a means to generate a variety of novel solutions (random mutations), plus design criteria (laws) to define the best fit for a particular role (niche) in the ecosystem, then the notion of a Programmer, with values & intentions begins to make sense. You were correct to imply that Randomness typically results in disorder & entropy. So, some design intent is necessary to produce functional organization & fruitful conducive complexity. Therefore, we can guess that the path from simple beginnings (raw matter) could eventually lead to organized complexity (brains), and thence to novel functions, such as self-directed Minds.
The Human Mind is not a concrete thing, but the abstract function of the most complex system (brain) in the universe. The neural network may even utilize evolutionary principles to optimize control of the body. And a mental self-image provides the necessary distinction between self & other. So, how could genetic accidents and random mutations explain such functional complexity? The world system (nature) must have been designed (programmed) to work toward that end : The Anthropic Principle. But, the evolutionary program hasn't halted yet. So the ultimate output may require even further refinement, and remains to be computed.
Evolutionary Computation :
The method: evolutionary computation. EC is a computational intelligence technique inspired from natural evolution.
https://www.sciencedirect.com/topics/co ... omputation
https://thephilosophyforum.com/discussi ... ousness/p1
How can genetic accidents and random mutations explain such complexity? — 3017amen
Scientists used to focus on the Random Mutation element of Darwinian Evolution, probably because it eliminated any notion of divine creation. But, especially since the Information Age, more attention has been paid to Natural Selection, as a means to choose from among the novel structures produced by accidental aggregation. Now scientists are using the basic principles of Evolution to design systems that will try millions of options virtually, in order to select the one that produces the best fit for their stated purposes.
Those programmers must begin by establishing Initial Conditions as a starting point that seems to be close to the desired outcome, Then they add Rules & Standards (laws) to guide the program in the right direction. But the actual processing of that setup information is basically a random sequence of trials & errors, and re-tries, as the imperfections are weeded-out. The final solutions are often unexpected, and somewhat complex, but tend to be less complicated than some of the rejected options. So, the goal is not complexity per se, but optimum organization of components. The Intelligence of the programmer is encoded into the program to serve as a value system to guide the selection mechanism. The selection criteria (choices) are able to extract functional organization from dysfunctional disorder.
If you think of Natural Evolution as a program, with pre-set limits (conditions), and a means to generate a variety of novel solutions (random mutations), plus design criteria (laws) to define the best fit for a particular role (niche) in the ecosystem, then the notion of a Programmer, with values & intentions begins to make sense. You were correct to imply that Randomness typically results in disorder & entropy. So, some design intent is necessary to produce functional organization & fruitful conducive complexity. Therefore, we can guess that the path from simple beginnings (raw matter) could eventually lead to organized complexity (brains), and thence to novel functions, such as self-directed Minds.
The Human Mind is not a concrete thing, but the abstract function of the most complex system (brain) in the universe. The neural network may even utilize evolutionary principles to optimize control of the body. And a mental self-image provides the necessary distinction between self & other. So, how could genetic accidents and random mutations explain such functional complexity? The world system (nature) must have been designed (programmed) to work toward that end : The Anthropic Principle. But, the evolutionary program hasn't halted yet. So the ultimate output may require even further refinement, and remains to be computed.
Evolutionary Computation :
The method: evolutionary computation. EC is a computational intelligence technique inspired from natural evolution.
https://www.sciencedirect.com/topics/co ... omputation