21st Century Artificial Intelligence Tackling Climate Instability. Cybernetic Modelling of Living Systems

Aim: to defend – with 21st Century Artificial Intelligence means – cybernetic modelling of living systems, as word-oriented technique, to mitigate the deathly effects of climate instability. Rationale: Convincing factual evidence shows that the deaths due to extreme weather phenomena increase, whereas scientists predict temperature rising by 2100. Science failed to mitigate the crisis, approaching the issue with wrong premises and ineffective modelling tools. It is shown that the relation between man-made pollution and climate (in) stability is based on factual truths. Among those: Living systems need cybernetic modelling. The armoury for shifting from numbers to words: Artificial intelligence in paleolinguistics = nuanced reasoning + Computing With (old) Words. Learning issues are outlined as falsifiable criteria: there is no algorithmic method for learning the mother tongue ably. The ‘Proof of Concept’ validations culminate with modelling homeostasis as macrochronic stability of Barkhausen circuits with natural-language capability. Assessment: The algorithmic paradigm is unable to solve emergencies. Ecology requires living system modelling and factual validation, involving: word-oriented artificial intelligence methods; ‘Proof-of-Concept’ validation by falsifiability; humanlike communication.