This paper presents detailed simulation results on a modified Sparse Distributed Memory (SDM) system. We have modified Kanerva’s original SDM system into an architecture with a ternary memory space. This enables the memory to be used as a Transient Episodic Memory (TEM) in cognitive software agents. TEM is a memory with high specificity and low retention, used for events having features of a particular time and place. Our earlier work focused on perfunctory, proof of concept assessments on the modified SDM system. This paper presents a detailed experimental evaluation of the modified SDM system with regard to its ability to store and retrieve episodic information
In this work, I present Sparse Distributed Memory for Small Cues (SDMSCue), a new variant of Sparse ...
Episodic memory is the collection of past personal experiences that occurred at a particular time an...
Abstract. Endowing an intelligent agent with an episodic memory affords it a multitude of cognitive ...
This paper presents detailed simulation results on a modified Sparse Distributed Memory (SDM) system...
This paper presents detailed simulation results on a modified Sparse Distributed Memory (SDM) system...
Abstract- This paper presents a Modified Sparse Distributed Memory architecture for use in software ...
This paper presents research on the development of effective forgetting mechanisms for the modified ...
This work develops a connectionist memory model for a service robot that satisfies a number of desid...
In most cognitive architectures, episodic memory is either not implemented, or plays a secondary rol...
Episodic memory provides a mechanism for accessing past experiences and has been relatively ignored ...
The Sparse Distributed Memory (SDM)[1] was originally developed to tackle the problem of storing lar...
We present our work on building a generic episodic memory module. Such a memory module is intended t...
The Sparse Distributed Memory (SDM) project is investigating the theory and applications of massivel...
Abstract—The Sparse Distributed Memory (SDM) proposed by Kanerva provides a simple model for human l...
Memory for Small Cues (SDMSCue), a new variant of Sparse Distributed Memory (SDM) that is capable of...
In this work, I present Sparse Distributed Memory for Small Cues (SDMSCue), a new variant of Sparse ...
Episodic memory is the collection of past personal experiences that occurred at a particular time an...
Abstract. Endowing an intelligent agent with an episodic memory affords it a multitude of cognitive ...
This paper presents detailed simulation results on a modified Sparse Distributed Memory (SDM) system...
This paper presents detailed simulation results on a modified Sparse Distributed Memory (SDM) system...
Abstract- This paper presents a Modified Sparse Distributed Memory architecture for use in software ...
This paper presents research on the development of effective forgetting mechanisms for the modified ...
This work develops a connectionist memory model for a service robot that satisfies a number of desid...
In most cognitive architectures, episodic memory is either not implemented, or plays a secondary rol...
Episodic memory provides a mechanism for accessing past experiences and has been relatively ignored ...
The Sparse Distributed Memory (SDM)[1] was originally developed to tackle the problem of storing lar...
We present our work on building a generic episodic memory module. Such a memory module is intended t...
The Sparse Distributed Memory (SDM) project is investigating the theory and applications of massivel...
Abstract—The Sparse Distributed Memory (SDM) proposed by Kanerva provides a simple model for human l...
Memory for Small Cues (SDMSCue), a new variant of Sparse Distributed Memory (SDM) that is capable of...
In this work, I present Sparse Distributed Memory for Small Cues (SDMSCue), a new variant of Sparse ...
Episodic memory is the collection of past personal experiences that occurred at a particular time an...
Abstract. Endowing an intelligent agent with an episodic memory affords it a multitude of cognitive ...