Learning Mechanism and Knowledge Discovery
Mark Chang · 2023
The learning mechanisms ( Figure 13.1 ) mainly include hierarchical tokenization and recursive patternization. We recall how we combine words into meaningful phrases, phrases into sentences, sentences into paragraphs, paragraphs into chapters, and chapters into a book. Hierarchical tokenization is like concept-embedment, i.e., using learned concepts (high-level tokens) to replace combinations of tokens, aiming at shortening event-strings for better understanding. Like language grammar, Patternization is the use of rules to describe the structural commonalities among multiple event-strings. Figure 13.1 Overview of the learning mechanisms A flowchart provides a simple overview of the learning mechanisms that contribute to dealing with novelty, similarity-learning with imitation and innovation, and frequency and distributive rewards. https://www.w3.org/1999/xlink" xlink:href="#long-desc24"/> https://www.w3.org/1999/xlink" xlink:href=" https://s3-euw1-ap-pe-df-pch-content-public-p.s3.eu-west-1.amazonaws.com/9781003392422/09e8e534-13e8-48fd-8df1-6c217f5200c1/content/fig13_1.tif "/>