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Metacognition as a Consequence of Competing Evolutionary Time Scales
2022
Entropy
Evolution is full of coevolving systems characterized by complex spatio-temporal interactions that lead to intertwined processes of adaptation. Yet, how adaptation across multiple levels of temporal scales and biological complexity is achieved remains unclear. Here, we formalize how evolutionary multi-scale processing underlying adaptation constitutes a form of metacognition flowing from definitions of metaprocessing in machine learning. We show (1) how the evolution of metacognitive systems
doi:10.3390/e24050601
pmid:35626486
pmcid:PMC9141326
fatcat:2lkuswxylfegzk5tixigua34ii