A Machine with Short-Term, Episodic, and Semantic Memory Systems

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Abstract

Inspired by the cognitive science theory of the explicit human memory systems, we have modeled an agent with short-term, episodic, and semantic memory systems, each of which is modeled with a knowledge graph. To evaluate this system and analyze the behavior of this agent, we designed and released our own reinforcement learning agent environment, “the Room”, where an agent has to learn how to encode, store, and retrieve memories to maximize its return by answering questions. We show that our deep Q-learning based agent successfully learns whether a short-term memory should be forgotten, or rather be stored in the episodic or semantic memory systems. Our experiments indicate that an agent with human-like memory systems can outperform an agent without this memory structure in the environment.

Original languageEnglish
Title of host publicationProceedings of the 37th AAAI Conference on Artificial Intelligence
Subtitle of host publicationAAAI-23 Technical Tracks 1
EditorsBrian Williams, Yiling Chen, Jennifer Neville
PublisherAAAI Press
Pages48-56
Number of pages9
ISBN (Electronic)9781577358800
DOIs
Publication statusPublished - 2023
Event37th AAAI Conference on Artificial Intelligence, AAAI 2023 - Washington, United States
Duration: 7 Feb 202314 Feb 2023

Publication series

NameProceedings of the ... AAAI Conference on Artificial Intelligence
Number1
Volume37
ISSN (Print)2159-5399
ISSN (Electronic)2374-3468

Conference

Conference37th AAAI Conference on Artificial Intelligence, AAAI 2023
Country/TerritoryUnited States
CityWashington
Period7/02/2314/02/23

Bibliographical note

Host title: Thirty-Seventh AAAI Conference on Artificial Intelligence
Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence
Thirteenth Symposium on Educational Advances in Artificial Intelligence
Edited by Brian Williams, Yiling Chen, Jennifer Neville
Sponsored by the Association for the Advancement of Artificial Intelligence
February 7–14, 2023, Washington DC, USA.

ISBN 978-1-57735-880-0 (Online, 13 issue set).

Funding Information:
This research was (partially) funded by the Hybrid Intelligence Center, a 10-year program funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organization for Scientific Research, https:// www.hybrid-intelligence-centre.nl/.

Funding Information:
This research was (partially) funded by the Hybrid Intelligence Center, a 10-year program funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organization for Scientific Research, https://www.hybrid-intelligence-centre.nl/.

Publisher Copyright:
Copyright © 2023, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

Funding

This research was (partially) funded by the Hybrid Intelligence Center, a 10-year program funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organization for Scientific Research, https:// www.hybrid-intelligence-centre.nl/. This research was (partially) funded by the Hybrid Intelligence Center, a 10-year program funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organization for Scientific Research, https://www.hybrid-intelligence-centre.nl/.

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