Modeling Memory Systems with Global Workspace Theory

Document Type: 
ASSC Conference Item
Article Type: 
Theoretical
Disciplines: 
Artificial intelligence
Topics: 
Memory
Deposited by: 
Prof Stan Franklin on 20 May 2009
Date of Issue: 
2003
Authors: 
Uma Ramamurthy, Sidney K.
D'Mello, Stan Franklin
Event Dates: 
May 30 - June 2, 2003
Event Location: 
Memphis, TN, USA
Event Title: 
Seventh Conference of the Association for the Scientific Study of Consciousness
Event Type: 
ASSC Conference
Presentation Type: 
Paper
Refereed: 
Yes
Official URL: 
http://www.cs.memphis.edu/~assc7/abstracts/assc7-cs114.html
Abstract: 
Human memory seems to come in myriad of versions: sensory memory, working memory, transient episodic memory, autobiographical memory, semantic memory and procedural memory. This research attempts to computationally model these memory systems and their relationship to consciousness in the context of an existing software agent, IDA (Intelligent Distribution Agent). IDA implements Baars' global workspace theory of consciousness. We implement some of the memory systems in IDA with Kanerva's Sparse Distributed Memory architecture. Using the IDA model, we are attempting to computationally test several hypotheses that serve to simplify relationships between the various types of memory and their relationship to consciousness. We hypothesize that Working Memory contents cue retrieval of local associations from Transient Episodic Memory and Long-Term Memory; an attention mechanism selects the contents of consciousness from the contents of Working Memory and these local associations; and only conscious contents are stored in Transient Episodic Memory and hence, Long Term Memory, due to the consolidation process from Transient Episodic Memory to Long Term Memory. This research is aimed at better understanding of memory systems, and the relationship between memory and consciousness.
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