Download PDFOpen PDF in browserHierarchical Temporal DNN and Associative Knowledge RepresentationEasyChair Preprint 7921, version 322 pages•Date: August 1, 2022AbstractThis paper proposes two models. The first one is designed bottom-up, i.e., mostly based on DL and Jeff Hawkins' temporal principle. The second one tackles some aspects of intelligence, specifically concerning the thinking process. It is designed top-down, i.e., mainly based on cognition and communication. Additionally, this paper not only exhibits top-down verse bottom-up approaches, but also presents the two edges of evolution: the DL model considers the beginning state of learning, while the knowledge representation model considers the saturated/mature/final state of learning. Keyphrases: Neuro Science, associative thinking, deep learning
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