Semantic memory modeling and memory interaction in learning agents

• Main Authors: WANG, Wenwen, TAN, Ah-hwee, TEOW, Loo-Nin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: semantic memory; learning agents; memory interactions; adaptive resonance theory; Databases and Information Systems; OS and Networks; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5245; https://ink.library.smu.edu.sg/context/sis_research/article/6248/viewcontent/Semantic_Memory_Modelling___TSMC_Systems_2016_Preprint.pdf
• Institution: Singapore Management University

Semantic memory plays a critical role in reasoning and decision making. It enables an agent to abstract useful knowledge learned from its past experience. Based on an extension of fusion adaptive resonance theory network, this paper presents a novel self-organizing memory model to represent and lear...