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Artificial Learning in Artificial Memories

2010/07/05 by John Robert Burger, Burger, John Robert
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #I.2.0 #I.2.2 #I.2.6 #Neurons and Cognition (q-bio.NC) #Parallel Computing and Optimization Techniques #Reinforcement Learning in Robotics #cs.AI #q-bio.NC

paper · pdf · doi:10.48550/arxiv.1007.0728

7 pages, 4 figures

openalex publication_date 2010/07/05 · arxiv created 2010/09/05 · arxiv updated 2010/09/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Memory refinements are designed below to detect those sequences of actions that have been repeated a given number n. Subsequently such sequences are permitted to run without CPU involvement. This mimics human learning. Actions are rehearsed and once learned, they are performed automatically without conscious involvement.

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