This paper proposes that two distinct types of structures are present in the brain: Symbolic Knowledge Structures (SKSs), used for formal symbolic reasoning, and Intuitive Knowledge Structures (IKSs), used for drawing informal associations. The paper contains ideas for modeling and analyzing these structures in an algorithmic style based on Spiking Neural Networks, following the paradigm used in earlier work by Lynch, Musco, Parter, and co-workers. The paper also contains two examples of use of these structures, involving counting through a memorized sequence, and understanding simple stylized sentences. The ideas presented here are preliminary and speculative, and do not (yet) comprise a complete, coherent, algorithmic theory. I hope that posting this preliminary version will help the ideas to evolve into such a theory.
翻译:本文建议大脑中存在两种不同的结构类型:用于正式象征性推理的符号知识结构(SKS)和用于绘制非正式协会的直观知识结构(IKS),本文载有以Spiking神经网络为基础的算法风格模型和分析这些结构的想法,遵循林奇、穆斯科、Parter和同事先前工作中所用的模式,文件还载有使用这些结构的两个例子,其中涉及通过记忆序列进行计数,并理解简单的文体化句。这里提出的想法是初步的和投机性的,并不包含一个完整、连贯和逻辑理论。我希望张贴这一初步版本将有助于这些想法演变成这样一个理论。