Reductionism is an incredibly powerful strategy for harnessing the work of scientists and for disseminating results in the form of reusable models of structure and causality. But for some of the "remaining difficult areas" such as life (biology, psychology, ecology, etc.), the world (modeling the world, economics, sociology), intelligence (understand the brain, l & # 39; intelligence and creating artificial general intelligences – AGI) and the problem of determining the semantics of language (eg text). Reductionism has failed. I argue that reductionist models can not be created in these areas (called "weird domains") and that we must use model-free (holistic) methods for these domains. This has important implications for AGI search strategies.
Tags agi AI ambiguity artificial intelligence artificial intuition bizarre domains bizarre systems chaos emergence epistemology holism irreducibility monica anderson reductionism singularity skynet syntience techshop