The question of how humans solve problem has been addressed extensively. However, the direct study of the effectiveness of this process seems to be overlooked. In this paper, we address the issue of the effectiveness of human problem solving: we analyze where this effectiveness comes from and what cognitive mechanisms or heuristics are involved. Our results are based on the optimal probabilistic problem solving strategy that appeared in Solomonoff paper on general problem solving system. We provide arguments that a certain set of cognitive mechanisms or heuristics drive human problem solving in the similar manner as the optimal Solomonoff strategy. The results presented in this paper can serve both cognitive psychology in better understanding of human problem solving processes as well as artificial intelligence in designing more human-like agents.
翻译:如何解决人类问题的问题得到了广泛的解决。然而,对这一进程有效性的直接研究似乎被忽视了。在本文件中,我们讨论了解决人类问题的有效性问题:我们分析了这种有效性来自何方,并分析了什么是认知机制或超自然论。我们的结果是基于所罗门诺夫关于一般性问题解决系统的文件所显示的解决最佳概率问题的战略。我们提出的论点是,某些认知机制或超自然论以与所罗门最佳战略相似的方式推动人类问题的解决。本文件提出的结果既有助于认知心理学,有助于更好地了解解决人类问题的过程,也有助于人造智能,有助于设计更像人类的物剂。