Workshops

1. Autonomous Robots and Multirobot Systems (ARMS)

Contact emails: nicola.basilico@unimi.it; m.sridharan@bham.ac.uk

Description: Robots, often used as examples in agents research, share significant overlap with autonomous agents and multi-robot systems studies. The ARMS workshop aims to encourage interaction between agents and robotics researchers, seeking contributions in robotics with a clear connection to autonomous agents, including theoretical, empirical, and mechanical studies.

Website: https://arms2024.di.unimi.it/

Call for papers: https://arms2024.di.unimi.it/

2. Optimization and Learning in Multi-Agent Systems (OptLearnMAS)

Contact emails: hchan3@unl.edu; jiaoyangli@cmu.edu; filippo.bistaffa@gmail.com

Description: Stimulated by various emerging applications involving agents to solve complex problems in real-world domains, such as intelligent sensing systems for the Internet of the Things (IoT), automated configurators for critical infrastructure networks, and intelligent resource allocation for social domains (e.g., security games for the deployment of security resources or auctions/procurements for allocating goods and services), agents in these domains commonly leverage different forms optimization and/or learning to solve complex problems. The goal of the workshop is to provide researchers with a venue to discuss models or techniques for tackling a variety of multi-agent optimization problems. We seek contributions in the general area of multi-agent optimization, including distributed optimization, coalition formation, optimization under uncertainty, winner determination algorithms in auctions and procurements, and algorithms to compute Nash and other equilibria in games. Of particular emphasis are contributions at the intersection of optimization and learning.

Website: https://optlearnmas.github.io

Call for papers: https://optlearnmas.github.io

3. 5th International Workshop on Autonomous Agents for Social Good

Contact emails: panayiotis.dn@gmail.com; yunfanzhao@fas.harvard.edu; aparnataneja@google.com

Description: This workshop focuses on the role of autonomous agents and multi-agent systems (MAS) in social challenges, such as public health, sustainability, climate change and conservation, and human rights. The goal is to identify new MAS problems in societies, develop novel MAS solutions to resolve social challenges, and learn from the real-world deployment of MAS.

Website: https://panosd.eu/aasg2024/

Call for papers: https://panosd.eu/aasg2024/call/

4. 12th International Workshop on Engineering Multi-Agent Systems (EMAS 2024)

Contact email: rafael.cardoso@abdn.ac.uk

Description: A key unifying theme underlying Artificial Intelligence is the idea of intelligent software agents able to reason, act, interact, and learn. Despite the substantial body of knowledge and expertise developed in the design and development of Multi-Agent Systems (MAS), the systematic development of large-scale and open MAS still poses many challenges. EMAS 2024 will provide a forum for researchers and practitioners in the domains of agent-oriented software engineering, programming multi-agent systems, declarative agent languages and technologies, artificial intelligence, and machine learning to present and discuss their research and emerging results in engineering MAS.

Website: https://emas.in.tu-clausthal.de/2024/

Call for papers: https://emas.in.tu-clausthal.de/2024/cfp/

5. International Workshop on Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-Agent Systems (COINE 2024)

Contact email: coineaamas2024@easychair.org

Description: The workshop aims to bring together researchers in autonomous agents and multi-agent systems working on the scientific and technological aspects of social coordination, organisational theory, normative MAS, artificial or electronic institutions, norm/policy-aware and ethical agents. This workshop complements the AAMAS main program by allowing a more relaxed and focused discussion of MAS from a social perspective. Previous editions of COINE have proven to foster collaboration among researchers in the relevant topics.

Website: https://coin-workshop.github.io/coine-2024-auckland/

Call for papers: https://coin-workshop.github.io/coine-2024-auckland/call_for_papers.html

6. International Workshop on Autonomous Agents and Multi-Agent Systems for Space Applications (MASSpace)

Contact email: gauthier.picard@onera.fr

Description: This workshop aims at disseminating and sharing recent advances in the use of agent-based and multi-agent-based models and techniques in the Space domain. Indeed, the use of agent-based and multi-agent systems (MAS) in aerospace and space is gaining traction, as they offer a promising approach for modeling and solving distributed, complex and dynamic problems. Sample applications notably include multiple spacecraft operations and maintenance, onboard-ground coordination, mission simulation, multi-mission operation, autonomous navigation, and collective robotics. AAMAS-related areas such as Engineering Multiagent Systems, Knowledge Representation, Reasoning, and Planning, Markets, Auctions, and Non-Cooperative Game Theory or Modelling and Simulation of Societies, develop relevant models and techniques to address such Space-related applications.

Website: https://mas-space.github.io/aamas2024ws/

Call for papers: https://mas-space.github.io/aamas2024ws/#cfp

7. Reinforcement Learning in Games (RLG)

Contact emails: milecdav@fel.cvut.cz; chunkail@cs.cmu.edu; viliam.lisy@fel.cvut.cz

Description: Games provide an ideal testing ground for AI’s interaction with diverse agents and conflicting goals. Over time, approaches shifted from domain-specific expertise to universal strategies like self-play reinforcement learning. Advances in technologies like deep reinforcement learning have led to successes in games such as Go and chess. While these achievements are notable, there is much more to explore in understanding algorithms for dynamic environments. A workshop on reinforcement learning in games can facilitate cross-disciplinary collaboration between machine learning and game theory, fostering innovative ideas and research opportunities.

Website: http://rlg.mlanctot.info/index.html

Call for papers: http://rlg.mlanctot.info/cfp.html

8. The 25th International Workshop on Multi-Agent-Based Simulation (MABS 2024)

Contact emails: jason.thompson@unimelb.edu.au,ivana.stankov@unisa.edu.au,rajith.v@unimelb.edu.au

Description: MABS 2024 continues its tradition since AAMAS was first held in Bologna in 2002 of fostering cross-fertilisation and innovation in MAS engineering and complex social and sociotechnical systems modelling. The workshop encourages submissions in areas such as simulation methodology and tools, simulation of social and intelligent behaviour, diverse applications, and simulation analytics. This year’s focus will be on ‘Modelling and Simulation of Societies’, which aligns closely with one of the 10 themes of the main AAMAS conference. For the MABS workshop, we encourage submission of work that is in a less finished state than we would expect to see at the main conference and particularly encourage the submission of work that has open questions which would be worthy of discussion at the workshop.

Website: https://mabsworkshop.github.io/

Call for papers: https://mabsworkshop.github.io/cfp/

9. The 2nd International Workshop on Citizen-Centric Multiagent Systems (C-MAS 2024)

Contact emails: cmas2024@easychair.org; behrad.koohy@soton.ac.uk; ss2@ecs.soton.ac.uk; v.yazdanpanah@soton.ac.uk

Description: Join us for the C-MAS 2024 workshop, where we will delve into the realm of citizen-centric multiagent systems. In today’s world, large-scale AI systems hold the potential to tackle critical societal challenges, from decarbonising our energy system to facilitating on-demand mobility and improving disaster response. However, we often overlook the active role of citizen end users, treating them merely as data providers and service consumers. Our workshop aims to shift this perspective and explore innovative approaches that treat citizen end users as primary agents with diverse needs and preferences. By doing so, we can develop more trustworthy, fair, and widely accepted sociotechnical solutions to pressing societal challenges.

Website: https://sites.google.com/view/cmas24

Call for papers: https://sites.google.com/view/cmas24/call-for-papers

10. Adaptive and Learning Agents (ALA)

Contact emails: raphael.avalos@vub.be; caroline.l.wang@utexas.edu; hmueller@l3s.de; connor.yates@nrl.navy.mil

Description: Adaptive and learning agents, particularly those interacting with each other in a multi-agent setting, are becoming increasingly prominent as the size and complexity of real-world systems grows. How to adaptively control, coordinate and optimise such systems is an emerging multi-disciplinary research area at the intersection of Computer Science, Control Theory, Economics, and Biology. The ALA workshop will focus on agents and multi-agent systems which employ learning or adaptation.

Website: https://ala2024.github.io/

Call for papers: https://ala2024.github.io/

11. 6th International Workshop on EXplainable and TRansparent AI and Multi-Agent Systems (EXTRAAMAS 2024)

Contact emails: davide.calvaresi@hevs.ch, amro.najjar@list.lu

Description: The International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems (EXTRAAMAS) runs since 2019, and is a well-established workshop and forum. It aims to discuss and disseminate research on explainable artificial intelligence, with a particular focus on intra/inter-agent explainability and cross-disciplinary perspectives. In its 6th edition, EXTRAAMAS 2024 identifies four particular focus topics with the ultimate goal of strengthening cutting-edge foundational and applied research. EXTRAAMAS relies on XAI Fundamentals, XAI in Action, and Cross-disciplinary Perspectives: XAI and Law, Dialogs, GenAI and prompting, etc. EXTRAAMAS is composed of 4 tracks: (i) XAI in symbolic and subsymbolic AI, (ii) XAI in negotiation and conflict resolution (iii) Prompts, Interactive Explainability and Dialogue, and (iv) (X)AI in Law and Ethics.

Website: https://extraamas.ehealth.hevs.ch/

Call for papers: https://extraamas.ehealth.hevs.ch/docs/CfP_EXTRAAMAS24.pdf

12. 6th Games, Agents, and Incentives Workshop (GAIW-24)

Contact email: alan.tsang@carleton.ca

Description: Games, Agents and Incentives is a confederated workshop which focuses on agents and incentives in AI. In particular, it promotes approaches that deal with game theory (cooperative and non-cooperative), social choice, and agent-mediated e-commerce aspects of AI systems.

Website: https://preflib.github.io/gaiw2024/

Call for papers: https://preflib.github.io/gaiw2024/submission/

13. Workshop on Social Choice and Learning Algorithms (SCaLA)

Contact emails: ben.armstrong@uwaterloo.ca; royfa@post.bgu.ac.il

Description: Motivated by growing interest in the similarities between problems in learning and social choice, SCaLA-24 aims to bring together researchers across these domains to highlight the benefits of collaboration. Recent work has explored theoretical bounds on the learnability of common voting rules alongside experimental evaluation of these bounds, has shown how neural networks can improve properties of voting rules or learn mechanism design, and has raised many questions. The goal of this workshop is to highlight new connections between social choice and learning algorithms. We seek contributions that demonstrate how either one of these fields can be used to strengthen the other and, more broadly, that combine aspects of the two domains in novel ways. We are interested in a broad range of topics from both desciplines.

Website: https://sites.google.com/view/scala24/

Call for papers: https://sites.google.com/view/scala24/

14. Rebellious and Disobedient Agents in Artificial Intelligence (RaD-AI)

Contact email: gordon.briggs@nrl.navy.mil

Description: The RaD-AI workshop aims to challenge the assumption that a collaborative agent is one that always complies with instructions it is given. As intelligent autonomous systems are increasingly deployed in various contexts, it is inevitable that upholding ethical principles or the ultimate intent of human stakeholders may necessitate non-compliance with some instances of direct human instruction. We seek to foster broad discussion on this topic (from novel computational algorithms that enable intelligent disobedience to considerations of human factors and societal impacts) and seek perspectives from a variety of disciplines.

Website: https://sites.google.com/view/rad-ai/rad-ai

Call for papers: https://sites.google.com/view/rad-ai/rad-ai/cfp

15. Multi-agent Approaches for Safety-critical Transportation Problems (MASTP)

Contact email: hasnain.ali@ntu.edu.sg

Description: The MASTP workshop is motivated by the increasing modelling and adoption of autonomous multi-agents into road, rail and air transportation systems where safety and reliability are of paramount importance. The coexistence and collaboration of human and AI agents within a multi-agent system present unique challenges and opportunities, transforming the traditional paradigms of how agents interact.
The central premise of this workshop is to acknowledge humans as integral components of multi-agent systems, where they are considered autonomous agents in their right. This paradigm shift recognizes that human decision-making and interactions within multi-agent systems can significantly impact the system’s performance and behavior. Moreover, it embraces the idea that humans, working alongside AI agents, can collectively contribute to more effective, adaptable, and robust multi-agent transportation systems.

Website: https://www.ntu.edu.sg/atmri/news-events/MASTP

Call for papers: https://www.ntu.edu.sg/atmri/news-events/MASTP#Content_C008_Col01