http://popups.lib.uliege.be/1373-5411/index.php?id=294 Index terms fr 0 http://popups.lib.uliege.be/1373-5411/index.php?id=3688 At the end of the last century, Planck opened the door onto the quantum mechanical world. Yet, ever since, despite enormous advances, science has resisted the precept implicit in the quantum mechanical formalism now increasingly confirmed by the experimental evidence, that reality is fundamentally non-local and reducible only locally to the classical Newtonian understanding that subsumed science before Planck's discovery. Even now such advanced ideas for the unification of physics such as string theory begin by quantizing an essentially classical model. Yet the expanding science and emerging technology of quantum cybernetics and information processing will, I am now convinced, change this. In particular, quantum holography/holochory offers such quantum non-local modelling such as quantum neural information processing or the completion began by Einstein, for Riemann's programme for the geometrization of physics, where the local classical models emerge as invariants. It is not therefore that neural networking or Einstein's general relativity are wrong, but that they are of limited application to modelling the reality in which we live, and that quantum models offer a new category of explanatory power, as this paper attempts to demonstrate, the breadth of which has yet to be fully appreciated. Thu, 26 Sep 2024 10:45:32 +0200 Thu, 26 Sep 2024 10:46:12 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3688 http://popups.lib.uliege.be/1373-5411/index.php?id=291 One should not forget that the initial aim of the first builders of computers and scientists in Artificial Intelligence was to make "thinking machines". Today, people are more cautious about the nature of intelligence and the difference between natural intelligence and artificial intelligence. Numerous definitions of thinking and of intelligence have been proposed. Nowadays, even consciousness, which has been taboo for a long time in the AI circles, begins to be discussed. In this paper, after a brief introduction about the different paradigms of the cognitive sciences in the last 50 years, we present the main features of a systemic holistic metamodel that has been proposed recently to interpret complex self-organizing systems evolving toward autonomy, like those found in biology, in the social and cognitive sciences. We then use this graphical language to show the specificity of living systems which is autopoiesis or selfproduction ; we then propose an interpretation of consciousness which is related to self-reference. Using these concepts, we then comment on the question raised in the title. Thu, 20 Jun 2024 16:59:57 +0200 Thu, 20 Jun 2024 17:00:11 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=291