Assessment of cognitive characteristics in intelligent systems and predictive abilityThe article proposes a universal dual-axis intelligent systems assessment
scale. The scale considers the properties of intelligent systems within the
environmental context, which develops over time. In contrast to the frequent
consideration of the 'mind' of artificial intelligent systems on a scale from
'weak' to 'strong', we highlight the modulating influences of anticipatory
ability on their 'brute force'. In addition, the complexity, the 'weight' of
the cognitive task and the ability to critically assess it beforehand determine
the actual set of cognitive tools, the use of which provides the best result in
these conditions. In fact, the presence of 'common sense' options is what
connects the ability to solve a problem with the correct use of such an ability
itself. The degree of 'correctness' and 'adequacy' is determined by the
combination of a suitable solution with the temporal characteristics of the
event, phenomenon, object or subject under study.
arxiv.org