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.
翻译:文章建议了一个普遍的双轴智能系统评估尺度。 比例尺考虑到智能系统在环境环境中的特性, 环境环境环境会随着时间的推移而发展。 与经常考虑人工智能系统的“ 微弱” 至“ 强” 等规模的“ 微弱” 相比, 我们强调预测能力对“ 锐力” 的调节影响。 此外, 认知任务的复杂性、 “ 重量” 以及预先严格评估它的能力, 决定了认知工具的实际组合, 其使用在这些条件下提供了最佳结果。 事实上, “ 常识” 选项的存在是解决问题的能力与正确使用这种能力本身的关联。 “ 正确性” 和“ 适量” 的程度是由合适的解决方案与所研究的事件、 现象、 对象 或主题的时间特征相结合决定的。