Affective Episodic Memory System for Virtual Creatures: The First Step of Emotion-Oriented Memory.
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| 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] |
| Copyright of Computational Intelligence & Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 153126186 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Affective Episodic Memory System for Virtual Creatures: The First Step of Emotion-Oriented Memory. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Martin%2C+Luis%22">Martin, Luis</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rosales%2C+Jonathan+H%2E%22">Rosales, Jonathan H.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jaime%2C+Karina%22">Jaime, Karina</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ramos%2C+Felix%22">Ramos, Felix</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computational+Intelligence+%26+Neuroscience%22">Computational Intelligence & Neuroscience</searchLink>. 10/20/2021, p1-23. 23p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Episodic+memory%22">Episodic memory</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+storage+%28Computer+science%29%22">Virtual storage (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Cybernetics%22">Cybernetics</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+science%22">Cognitive science</searchLink><br /><searchLink fieldCode="DE" term="%22Affect+%28Psychology%29%22">Affect (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Reward+%28Psychology%29%22">Reward (Psychology)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computational Intelligence & Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/2021/7954140 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 1 Subjects: – SubjectFull: Episodic memory Type: general – SubjectFull: Virtual storage (Computer science) Type: general – SubjectFull: Cybernetics Type: general – SubjectFull: Cognitive science Type: general – SubjectFull: Affect (Psychology) Type: general – SubjectFull: Reward (Psychology) Type: general Titles: – TitleFull: Affective Episodic Memory System for Virtual Creatures: The First Step of Emotion-Oriented Memory. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Martin, Luis – PersonEntity: Name: NameFull: Rosales, Jonathan H. – PersonEntity: Name: NameFull: Jaime, Karina – PersonEntity: Name: NameFull: Ramos, Felix IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 10 Text: 10/20/2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 16875265 Titles: – TitleFull: Computational Intelligence & Neuroscience Type: main |
| ResultId | 1 |
