AAMAS 2020

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AAMAS 2020
Logo of AAMAS 2020
19th International Conference on Autonomous Agents and Multi Agent Systems
Ordinal 19
Event in series AAMAS
Dates 2020/05/09 (iCal) - 2020/05/13
Homepage: https://aamas2020.conference.auckland.ac.nz/
Twitter account: @aams2020
Location: Auckland, Online
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Important dates
Submissions: 2019/11/12
Notification: 2020/01/15
Subevents: EMAS 2020
Papers: Submitted 808 / Accepted 186 (23 %)
General chairs: Amal El Fallah Seghrouchni, Gita Sukthankar
PC chairs: Bo An, Neil Yorke-Smith
Keynote speaker: Alison Hesppenstall, Carla Gomes, Sergey Levine, Thore Graepel
Table of Contents


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AAMAS (International Conference on Autonomous Agents and Multiagent Systems) is the largest and most influential conference in the area of agents and multiagent systems. The aim of the conference is to bring together researchers and practitioners in all areas of agent technology and to provide a single, high-profile, internationally renowned forum for research in the theory and practice of autonomous agents and multiagent systems. AAMAS is the flagship conference of the non-profit International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).


Area 1 – Coordination, Organizations, Institutions and Norms

  • Architectures for social reasoning
  • Coordination and control models for multi-agent systems
  • Monitoring agent societies
  • Norm learning and emergence
  • Normative systems
  • Organisations and institutions
  • Policy, regulation and legislation
  • Representations and reasoning about norms and normative systems
  • Self-organisation
  • Social networks
  • Socio-technical systems
  • Trust and reputation
  • Values in multi-agent systems, including privacy, safety, security and transparency

Area 2 – Engineering Multi-Agent Systems

  • Development concerns, including deployment, scalability and complexity
  • Empirical studies and industrial experience reports on engineering MAS applications
  • Applications of formal methods and declarative technologies for specification, verification and validation of MAS
  • Interoperability and integration
  • Programming frameworks, languages, models and abstractions for all aspects of MAS
  • Software engineering methodologies and techniques for agent-based systems
  • Tools and testbeds for evaluation of MAS

Area 3 – Humans and AI / Human-Agent Interaction

  • Agent-based analysis of human interactions
  • Agents competing and collaborating with humans
  • Agents for improving human cooperative activities
  • Explainability in human-agent systems
  • Groups of humans and agents
  • Human-robot/agent interaction
  • Multimodal interaction
  • Multi-user/multi-agent interaction
  • Social agent architectures
  • Social agent models
  • Socially interactive agents
  • Trust in human-agent systems
  • Virtual humans

Area 4 – Innovative Applications

  • Challenges in moving agent-based technology to the real world
  • Deployed applications of agent-based systems
  • Emerging applications of agent-based systems
  • Integrated applications of agent-based and other technologies
  • User studies of deployed agent-based systems

Area 5 – Knowledge Representation, Reasoning and Planning

  • Agent theories and models
  • Coalition formation (non-strategic)
  • Communication and argumentation
  • Distributed problem solving / constraint reasoning
  • Logics for agent reasoning
  • Ontologies for agents
  • Single- and multi-agent planning and scheduling
  • Reasoning about action, plans and change in multi-agent systems
  • Reasoning about knowledge, beliefs, goals, norms and strategies in multi-agent systems
  • Reasoning and problem solving in agent-based systems
  • Teamwork, team formation, teamwork analysis
  • Verification of multi-agent systems

Area 6 – Learning and Adaptation

  • Adversarial machine learning
  • Co-evolutionary algorithms
  • Deep learning
  • Evolutionary algorithms
  • Learning agent capabilities
  • Learning agent-to-agent interactions
  • Machine learning
  • Multi-agent learning
  • Multi-reward learning
  • Multi-task learning
  • Reinforcement learning
  • Reward structures for learning.

Area 7 – Markets, Auctions, and Non-Cooperative Game Theory

  • Auctions and mechanism design
  • Bargaining and negotiation
  • Behavioural game theory
  • Game theory for practical applications
  • Non-cooperative games: computation
  • Non-cooperative games: theory & analysis

Area 8 – Modelling and Simulation of Societies

  • Analysis of agent-based simulations
  • Applications of agent-based simulations
  • Emergent behaviour
  • Engineering agent-based simulations
  • Interactive simulation
  • Modelling for agent-based simulation
  • Simulation of complex systems
  • Simulation techniques, tools and platforms
  • Social simulation
  • Validation of simulation systems

Area 9 – Robotics

  • Explainability, trust and ethics for robots
  • Failure recovery for robots
  • Human-robot interaction and collaboration
  • Knowledge representation and reasoning in robotic systems
  • Long-term (or lifelong) autonomy for robotic systems
  • Machine learning for robotics
  • Mapping, localisation and exploration
  • Multi-robot systems
  • Networked systems and distributed robotics
  • Robot control
  • Swarm and collective behaviour
  • Robots in adversarial settings
  • Bulleted list item

Area 10 – Social Choice and Cooperative Game Theory

  • Coalition formation (strategic)
  • Cooperative games: computation
  • Cooperative games: theory & analysis
  • Fair allocation
  • Social choice theory