This paper presents a new acoustic-to-articulatory inversion methodbased on an episodic memory, which is an interesting model for two reasons. First, it does not rely on any assum...
This paper brings together work in modeling episodic memory and reinforcement learning. We demonstrate that is possible to learn to use episodic memory retrievals while simultaneo...
In this paper we propose the CTS (Concious Tutoring System) technology, a biologically plausible cognitive agent based on human brain functions.This agent is capable of learning a...
Usef Faghihi, Philippe Fournier-Viger, Roger Nkamb...
We present an episodic memory component for enhancing the dialogue of artificial companions with the capability to refer to, take up and comment on past interactions with the user...
The Convergence-Zone model shows how sparse, random memory patterns can lead to one-shot storage and high capacity in the hippocampal component of the episodic memory system. This...
hin an abstract microworld of analogy problems. This approach differs from most other models of analogy in its insistence that concepts acquire their semantics from within the syst...
Abstract- Human episodic memory provides a seemingly unlimited storage for everyday experiences, and a retrieval system that allows us to access the experiences with partial activa...
In this paper, we explore the hypothesis that episodic memory is a critical component for cognitive architectures that support general intelligence. Episodic memory overlaps with ...
Alzheimer's disease impairs episodic memory and subtly and progressively robs people of their ability to remember their recent experiences. In this paper, we describe two stu...
In this paper, we mention about various techniques in order to create ”socially intelligent virtual humans” which can interact with people using natural ways of communication....