- General Chairs:
- Mehdi Dastani,
- Jaime Simão Sichman,
- Program Chairs:
- Natasha Alechina,
- Virginia Dignum
Welcome to AAMAS-2024, the 23th edition of the International Conference on Autonomous Agents and Multiagent Systems!
AAMAS is the largest and most influential conference in the area of agents and multiagent systems, bringing together researchers and practitioners in all areas of agent technology and providing an internationally renowned high-profile forum for publishing and finding out about the latest developments in the field. AAMAS is the flagship conference of the non-profit International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).
After two attempts to hold AAMAS in New Zealand for the first time, which were forced online by the COVID19 pandemic, we are happy that the 2024 edition finally comes to Auckland, New Zealand. Previous editions were held in Bologna (2002), Melbourne (2003), New York (2004), Utrecht (2005), Hakodate (2006), Honolulu (2007), Estoril (2008), Budapest (2009), Toronto (2010), Taipei (2011), Valencia (2012), Saint Paul (2013), Paris (2014), Istanbul (2015), Singapore (2016), Sao Paulo (2017), Stockholm (2018), Montreal (2019), Auckland/online (2020), London/online (2021), Auckland/online (2022), and London (2023).
Trustworthy Reinforcement Learning: Opportunities and Challenges
Reinforcement Learning (RL) has long outgrown the traditional representations that guaranteed policy convergence but severely limited its application to complex domains. Modern Deep RL enables far richer and complex behaviour, yet at the cost of ...
Agents and Humans: Trajectories and Perspectives
The AAMAS conference was established in 2002 as the merger of three highly successful conferences: AA (the International Conference on Autonomous Agents), ICMAS (the International Conference on Multiagent Systems) and ATAL (the International Workshop on ...
30 Years of Engineering Multi-Agent Systems: What and Why?
Research on Engineering Multi-Agent Systems (EMAS) aims to provide software engineers with what they need to be able to effectively develop multi-agent systems. The field is broad, covering foundational concepts, notations, processes, techniques, tools, ...
Index Terms
- Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems