Opinion:Claim CF011 (Talk.Origins)
Claim
In the Claim CF011., Talk Origins stated that:
(Talk.Origins quotes in blue)
1. The fitness function of genetic algorithms need not include any new information. A fitness function can be expressed as whether the algorithm performs better or worse in a particular environment. The only information is provided by the environment, which is usually modeled on the real world. The claim makes sense only if design is defined as what is in nature already.
Answer
This answer is just a distraction. The complexity of the fitness function was simply transferred to a decision problem (yes / no). It continues directly related to the complexity, ie, it does not lose its complexity because it turned into a decision problem. In fact, the fitness function must be translated into a quantity: number of descendents. And to calculate this quantitative return, the function would have to be as complex as the specificity of the power of selection that it would have. If we transfer the intelligence to the environment, you must embed complexity in the environment to shape better outcomes. In this case the environment would be increasingly clever to produce more complex products. In the example below we extended the increasing complexity of the environment in the same way the fitness function. We begin with a series of numbers and we will increase the complexity of the list until the list of primes ordered and no gaps in its sequence.
Increased complexity of the fitness function (or "intelligence" of the environment) for a list of the first 12 prime numbers greater than 2 | ||||||
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Initial chromosome | Selected chromosome | Demands of the environment | Fitness function | |||
1,A,2,4,B,10,44,18,C,3, | 1,9,2,4,6,10,44,18,8,3 | Favors chromosomes composed only of numbers | The more numeric characters in the chromosome largest the fitness | |||
1,9,2,4,6,10,44,18,8,3 | 1,9,2,4,6,10,44,18,8,3,14,26 | Favors only numbers in a list of 12 elements. Lists with different amounts have lower fitness. | The more numeric characters in the chromosome largest the fitness If the set has a different amount than twelve elements the fitness is penalized for a value d | |||
1,9,2,4,6,10,44,18,8,3,22,37 | 1,2,4,6,8,9,10,12,17,22,35,44 | Favors only numbers in a list of 12 elements. The list must be sorted. | The more numeric characters in the chromosome largest the fitness If the set has a different amount than twelve elements the fitness is penalized for a value d | |||
1,2,4,6,8,9,10,12,17,22,35,44 | 1,3,7,9,17,23,33,35,55,71,73,83 | Favors only numbers in a list of 12 elements. The list must be sorted. The numbers have to be odd | The more numeric characters in the chromosome largest the fitness If the set has a different amount than twelve elements the fitness is penalized for a value d | |||
1,3,7,9,17,23,33,35,55,71,73,83 | 5,7,13,17,23,37,59,89,97,101,113 | Favors only numbers in a list of 12 elements. The list must be sorted. The numbers have to be odd. The numbers have to be prime. | The more numeric characters in the chromosome largest the fitness If the set has a different amount than twelve elements the fitness is penalized for a value d | |||
5,7,13,17,23,37,41,59,89,97,101,113 | 7,11,13,17,19,23,29,31,37,41,43,47 | Favors only numbers in a list of 12 elements. The list must be sorted. The numbers have to be odd. The numbers have to be prime. There can be no gaps between primes (e.g. 3,7 -> missing the 5) | The more numeric characters in the chromosome largest the fitness If the set has a different amount than twelve elements the fitness is penalized for a value d | |||
7,11,13,17,19,23,29,31,37,41,43,47 | 3,5,7,11,13,17,19,23,29,31,37,41 | Favors only numbers in a list of 12 elements. The list must be sorted. The numbers have to be odd. The numbers have to be prime. There can be no gaps between primes (e.g. 3,7 -> missing the 5). The sequence should start from 3. | The more numeric characters in the chromosome largest the fitness If the set has a different amount than twelve elements the fitness is penalized for a value d |
Conclusion
This is a simple example of how the fitness function (or ambient intelligence) should grow as the complexity of the result increases. Thus, while creationists proposes an "intelligent designer", the Talk.Origins states such a thing like an "intelligent environment". One must keep in mind that whatever the proposed source of intelligence, it (or He) had to be able to create brains that solve Fourier series, Laplace transforms, and so on