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|Start Date=2021-05-03 | |Start Date=2021-05-03 | ||
|End Date=2021-05-07 | |End Date=2021-05-07 | ||
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AAMAS-2021 to be held as fully virtual event | AAMAS-2021 to be held as fully virtual event |
Revision as of 12:44, 24 August 2022
The document "AAMAS 2021" was published on "2023-07-03T11:09:45" on the website "ConfIDent" under the URL https://confident-conference.org/index.php/Event:AAMAS 2021.
The document "AAMAS 2021" describes an event in the sense of a conference.
The document "AAMAS 2021" contains information about the event "AAMAS 2021" with start date "2021-05-03" and end date "2021-05-07".
The event "AAMAS 2021" is part of the event series identified by [[Event Series:AAMAS]]
AAMAS-2021 to be held as fully virtual event
Topics
- Engineering Multiagents Systems
- Robotics
- Innovative Applications
- Modelling and Simulation of Societies
- Humans and Al/Human-Agent Interaction
Submissions
- Abstract submission 02 Oct 2020
- Paper submission 09 Oct 2020
- Rebuttal period 23-25 Nov 2020
- Author notification 18 Dec 2020
Important Dates
- Conference 03-07 May 2021
Special Tracks
In addition to the main track, AAMAS-2021 will feature three special tracks, the Blue Sky Ideas Track, the JAAMAS Track, and the Demo Track, each with a separate Call for Papers
Committees
On behalf of the AAMAS-2021 Organising Committee,
- General Chairs
- Programme Chairs
- Head of the Local Arrangements Committee
List of workshops
- Autonomous Agent for Social Good, AASG
- Adaptive and Learning Agents, ALA
- Agent-Based Modelling of Urban Systems, ABMUS
- Autonomous Robots and Multirobot Systems, ARMS
- Agents Applied in Healthcare, A2HC
- Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-Agent Systems, COINE
- Engineering Multi-Agent Systems, EMAS
- EXplainable TRansparent and Autonomous Agents and Multi-Agent Systems, EXTRAAMAS
- Games, Agents, and Incentives, GAIW
- Logical Aspects of Multi-agent Systems & Strategic Reasoning, LAMAS & SR
- Multi-Agent-Based Simulation, MABS
- Optimization and Learning in Multi-Agent Systems, OptLearnMAS
- Trust in Agent Societies, TRUST