Affective Episodic Memory System for Virtual Creatures: The First Step of Emotion-Oriented Memory.

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Bibliographic Details
Title:	Affective Episodic Memory System for Virtual Creatures: The First Step of Emotion-Oriented Memory.
Authors:	Martin, Luis¹ (AUTHOR), Rosales, Jonathan H.² (AUTHOR), Jaime, Karina¹ (AUTHOR), Ramos, Felix¹ (AUTHOR)
Source:	Computational Intelligence & Neuroscience. 10/20/2021, p1-23. 23p.
Subjects:	Episodic memory, Virtual storage (Computer science), Cybernetics, Cognitive science, Affect (Psychology), Reward (Psychology)
Abstract:	Episodic memory and emotions are considered essential functions in human cognition. Both allow us to acquire new knowledge from the environment, ranging from the objects around us to how we feel towards them. These qualities make them crucial functions for systems trying to create human-like behaviour. In the field of cognitive architectures (CAs), there are multiple studies covering memory and emotions. However, most of them treat these subjects in an isolated manner, considering emotions only as a reward signal unrelated to a retrieved experience. To address this lack of direct interaction, we propose a computational model that covers the common processes that are related to memory and emotions. Specifically, this proposal focuses on affective evaluations of episodic memories. Neurosciences and psychology are the bases of this model. That is, the model's components and the processes that they carry out on the information they receive are designed based on evidence from these cognitive sciences. The proposed model is a part of Cuáyóllótl, a cognitive architecture for cybernetic entities such as virtual creatures and robots. Case studies validate our proposal. They show the relevance of the integration of emotions and memory in a virtual creature. The virtual creature endowed with our emotional episodic model improves its learning and modifies its behaviour according to planning and decision-making processes. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	Episodic memory and emotions are considered essential functions in human cognition. Both allow us to acquire new knowledge from the environment, ranging from the objects around us to how we feel towards them. These qualities make them crucial functions for systems trying to create human-like behaviour. In the field of cognitive architectures (CAs), there are multiple studies covering memory and emotions. However, most of them treat these subjects in an isolated manner, considering emotions only as a reward signal unrelated to a retrieved experience. To address this lack of direct interaction, we propose a computational model that covers the common processes that are related to memory and emotions. Specifically, this proposal focuses on affective evaluations of episodic memories. Neurosciences and psychology are the bases of this model. That is, the model's components and the processes that they carry out on the information they receive are designed based on evidence from these cognitive sciences. The proposed model is a part of Cuáyóllótl, a cognitive architecture for cybernetic entities such as virtual creatures and robots. Case studies validate our proposal. They show the relevance of the integration of emotions and memory in a virtual creature. The virtual creature endowed with our emotional episodic model improves its learning and modifies its behaviour according to planning and decision-making processes. [ABSTRACT FROM AUTHOR]
ISSN:	16875265
DOI:	10.1155/2021/7954140