Add to ORKGThis 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
Episodic memory is the collection of past personal experiences that occurred at a particular time an...
We propose an episodic memory-based approach to the problem of pattern capture and recognition. We s...
Abstract—The Sparse Distributed Memory (SDM) proposed by Kanerva provides a simple model for human l...
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 ...
We present our work on building a generic episodic memory module. Such a memory module is intended t...
The Sparse Distributed Memory (SDM)[1] was originally developed to tackle the problem of storing lar...
Abstract. Endowing an intelligent agent with an episodic memory affords it a multitude of cognitive ...
In this work, I present Sparse Distributed Memory for Small Cues (SDMSCue), a new variant of Sparse ...
Memory for Small Cues (SDMSCue), a new variant of Sparse Distributed Memory (SDM) that is capable of...
The Sparse Distributed Memory (SDM) project is investigating the theory and applications of massivel...
Episodic memory is the collection of past personal experiences that occurred at a particular time an...
We propose an episodic memory-based approach to the problem of pattern capture and recognition. We s...
Abstract—The Sparse Distributed Memory (SDM) proposed by Kanerva provides a simple model for human l...
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 ...
We present our work on building a generic episodic memory module. Such a memory module is intended t...
The Sparse Distributed Memory (SDM)[1] was originally developed to tackle the problem of storing lar...
Abstract. Endowing an intelligent agent with an episodic memory affords it a multitude of cognitive ...
In this work, I present Sparse Distributed Memory for Small Cues (SDMSCue), a new variant of Sparse ...
Memory for Small Cues (SDMSCue), a new variant of Sparse Distributed Memory (SDM) that is capable of...
The Sparse Distributed Memory (SDM) project is investigating the theory and applications of massivel...
Episodic memory is the collection of past personal experiences that occurred at a particular time an...
We propose an episodic memory-based approach to the problem of pattern capture and recognition. We s...
Abstract—The Sparse Distributed Memory (SDM) proposed by Kanerva provides a simple model for human l...
