Using coevolution and substitution of the fittest for health and well-being recommender systems

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SUMMARY

    Populations may continually cycle with no overall progress; populations may progress in an unintended and unwanted direction; populations may stop competing and settle into a mediocre stable state; and populations may disengage and stop progressing entirely. While this terminology is meaningful in asymmetric systems where one population (the model) is of most interest, it should be noted that in symmetric systems, such as games of self-play where both SN Computer Science SN Computer Science coevolving populations are models with the same encoding scheme, the two populations become interchangeable and the names host and . . .

     

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