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“The Minimal Cognitive Grid (MCG) provides a non-subjective, graded, evaluation framework allowing both quantitative and qualitative analysis about the cognitive adequacy and the human-like performances of artificial systems (in both single and multi-tasking settings). In principle (and in perspective), the psychometric declination of one of its composing dimensions (in particular the “performance match”) could be also useful to evaluate the human-level performances in both narrow and unrestricted settings.”

“While AI technology has reached important levels of performances in narrow settings, the missing part concerns exactly the study of how to create artificial companions (embodied and disembodied) able to integrate different skills in order to help humans in their everyday activities. Similarly, computational cognitive science is interested in individuating how the brain and the mind works as integrated systems. This renewed convergence is, in my view, a necessity driven by the fact that modern and future AI and CogSci research will be again disciplines interested in the same topic: namely the discovery of the mechanisms enabling multitasking intelligence. In order to advance the scientific knowledge in their respective field, in fact, they need to evolve and become sciences (of the artificial) studying the mysteries of "integrated intelligence". Time seems mature for a renewed collaboration.”