We propose that a general learning system should have three kinds of agents corresponding to sensory, short-term, and long-term memory that implicitly will facilitate context-free and context-sensitive aspects of learning. These three agents perform mututally complementary functions that capture aspects of the human cognition system. We investigate the use of CC1 and CC4 networks for use as models of short-term and sensory memory.
@article{arxiv.1712.09331,
title = {Learning Based on CC1 and CC4 Neural Networks},
author = {Subhash Kak},
journal= {arXiv preprint arXiv:1712.09331},
year = {2017}
}
Comments
5 pages.arXiv admin note: text overlap with arXiv:0809.5087; text overlap with arXiv:cs/0601129 by other authors