Department of Computer Science, University of South Alabama, Mobile, AL, United States of America.
PLoS One. 2023 Oct 5;18(10):e0290326. doi: 10.1371/journal.pone.0290326. eCollection 2023.
Knowledge processing has patterns which can be found in biological neuron activity and artificial neural networks. The work explores whether an underlying structure exists for knowledge which crosses domains. The results show common data processing patterns in biological systems and human-made knowledge-based systems, present examples of human-generated knowledge processing systems, such as artificial neural networks and research topic knowledge networks, and explore change of system patterns over time. The work analyzes nature-based systems, which are animal connectomes, and observes neuron circuitry of knowledge processing based on complexity of the knowledge processing system. The variety of domains and similarity in processing mechanisms raise the question: if it is common in natural and artificial systems to see this pattern-based knowledge processing, how unique is knowledge processing in humans.
知识处理具有可以在生物神经元活动和人工神经网络中找到的模式。这项工作探讨了是否存在跨越领域的知识的基础结构。结果表明，生物系统和人为基于知识的系统中存在常见的数据处理模式，提供了人工神经网络和研究主题知识网络等人为知识处理系统的示例，并探讨了系统模式随时间的变化。该工作分析了基于自然的系统，即动物连接组，并根据知识处理系统的复杂性观察基于自然的系统中的神经元知识处理电路。不同领域和相似的处理机制提出了一个问题：如果在自然和人工系统中看到这种基于模式的知识处理是常见的，那么人类的知识处理有多么独特。
