论文标题
评估智能系统和预测能力的认知特征
Assessment of cognitive characteristics in intelligent systems and predictive ability
论文作者
论文摘要
本文提出了通用双轴智能系统评估量表。该量表考虑了随着时间的推移而发展的环境环境中智能系统的属性。与从“弱”到“强”的规模上经常考虑人工智能系统的“思维”相反，我们强调了预期能力对其“蛮力”的调节影响。此外，认知任务的复杂性，“权重”以及预先确定其批判性评估的能力确定了实际的认知工具集，在这些条件下，其使用提供了最佳结果。实际上，“常识”选项的存在与正确使用这种能力本身解决问题的能力联系在一起。 “正确性”和“充分性”的程度取决于合适的解决方案与事件，现象，物体或受试者的时间特征的组合。
The 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.
