research-article

Autonomous agents and multiagent systems: perspectives on 20 years of AAMAS

Authors:

Jaime SichmanAuthors Info & Claims

AI Matters, Volume 7, Issue 3

Pages 29 - 37

https://doi.org/10.1145/3511322.3511329

Published: 31 January 2022 Publication History

Abstract

The 2021 edition of AAMAS, the International Conference on Autonomous Agents and Multiagent Systems, took place from the 3rd to 7th of May 2021 (aamas2021.soton.ac.uk). This year it was organized in the form of a virtual event and attracted over 1,000 registered participants. As every year, the conference featured an exciting programme of contributed talks, keynotes addresses, tutorials, affiliated workshops, a doctoral consortium, and more.

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Cited By

Sonenberg LDastani MSichman JAlechina NDignum V(2024)Agents and Humans: Trajectories and PerspectivesProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3662843(2-2)Online publication date: 6-May-2024
https://dl.acm.org/doi/10.5555/3635637.3662843
Siegel DKraetzer CSeidlitz SDittmann J(2024)Media Forensic Considerations of the Usage of Artificial Intelligence Using the Example of DeepFake DetectionJournal of Imaging10.3390/jimaging1002004610:2(46)Online publication date: 9-Feb-2024
https://doi.org/10.3390/jimaging10020046
Long WHou TWei XYan SZhai PZhang L(2023)A Survey on Population-Based Deep Reinforcement LearningMathematics10.3390/math1110223411:10(2234)Online publication date: 10-May-2023
https://doi.org/10.3390/math11102234
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Index Terms

Autonomous agents and multiagent systems: perspectives on 20 years of AAMAS
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Multi-agent systems

Index terms have been assigned to the content through auto-classification.

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Published In

cover image AI Matters

AI Matters Volume 7, Issue 3

September 2021

34 pages

EISSN:2372-3483

DOI:10.1145/3511322

Editors:
Iolanda Leite
KTH
,
Anuj Karpatne
Virginia Tech

Issue’s Table of Contents

Copyright © 2022 Copyright is held by the owner/author(s).

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 January 2022

Published in SIGAI-AIMATTERS Volume 7, Issue 3

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Cited By

Sonenberg LDastani MSichman JAlechina NDignum V(2024)Agents and Humans: Trajectories and PerspectivesProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3662843(2-2)Online publication date: 6-May-2024
https://dl.acm.org/doi/10.5555/3635637.3662843
Siegel DKraetzer CSeidlitz SDittmann J(2024)Media Forensic Considerations of the Usage of Artificial Intelligence Using the Example of DeepFake DetectionJournal of Imaging10.3390/jimaging1002004610:2(46)Online publication date: 9-Feb-2024
https://doi.org/10.3390/jimaging10020046
Long WHou TWei XYan SZhai PZhang L(2023)A Survey on Population-Based Deep Reinforcement LearningMathematics10.3390/math1110223411:10(2234)Online publication date: 10-May-2023
https://doi.org/10.3390/math11102234
Niño-Mora J(2023)Markovian Restless Bandits and Index Policies: A ReviewMathematics10.3390/math1107163911:7(1639)Online publication date: 28-Mar-2023
https://doi.org/10.3390/math11071639
Adam ERazakatiana MMandiau RKolski C(2023)Matrices Based on Descriptors for Analyzing the Interactions between Agents and HumansInformation10.3390/info1406031314:6(313)Online publication date: 29-May-2023
https://doi.org/10.3390/info14060313
Karam MLuck M(2023)Approaching AI: A Practical Guide to Understanding and Using AI for HCIArtificial Intelligence in HCI10.1007/978-3-031-35891-3_32(519-532)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-35891-3_32

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