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).

The AAMAS conference series was initiated in 2002 in Bologna, Italy as a joint event comprising the 6th International Conference on Autonomous Agents (AA), the 5th International Conference on Multiagent Systems (ICMAS), and the 9th International Workshop on Agent Theories, Architectures, and Languages (ATAL).

Subsequent AAMAS conferences have been held in Melbourne, Australia (July 2003), New York City, NY, USA (July 2004), Utrecht, The Netherlands (July 2005), Hakodate, Japan (May 2006), Honolulu, Hawaii, USA (May 2007), Estoril, Portugal (May 2008), Budapest, Hungary (May 2009), Toronto, Canada (May 2010), Taipei, Taiwan (May 2011), Valencia, Spain (June 2012), Minnesota, USA (May 2013), Paris, France (May 2014), Istanbul, Turkey (May 2015), Singapore (May 2016), São Paulo (2017) and Stockholm, Sweden (2018).

The conference solicits papers addressing original research on autonomous agents and their interaction. In addition to the main track, there will be six special tracks: Robotics, Socially Interactive Agents, Engineering Multiagent Systems, Blue-Sky Ideas, JAAMAS, and Industrial Applications. Specific details and topics of interest for each track appear below:

• Robotics Track
• Socially Interactive Agents Track
• Engineering Multiagent Systems Track
• Blue Sky Ideas Track
• JAAMAS Track
• Industrial Applications Track

Topics of interest for the main track include (but are not limited to) the following:

• Agent Theories and Models

• • Logic and game theory
  • Logics for agents and multi-agent systems
  • Formal models of agency
  • Belief-Desire-Intention theories and models
  • Cognitive models
  • Logics for agents and multi-agent systems
  • Logics for norms and normative systems

• Communication and Argumentation:

• • Commitments
  • Communication languages and protocols
  • Speech act theory
  • Deductive, rule-based and logic-based argumentation
  • Argumentation-based dialogue and protocols

• Agent Cooperation:

• • Biologically-inspired approaches and methods
  • Collective intelligence
  • Distributed problem solving
  • Teamwork, team formation, teamwork analysis
  • Coalition formation (non-strategic)
  • Multi-user/multi-virtual-agent interaction
  • Multi-robot systems

• Knowledge Representation and Reasoning:

• • Ontologies for agents
  • Reasoning in agent-based systems
  • Single and multi-agent planning and scheduling
  • Reasoning about action, plans and change in multi-agent systems
  • Reasoning about knowledge, beliefs, goals and norms in multiagent systems

• Agent Societies and Societal issues:

• • Organizations and institutions
  • Social networks
  • Socio-technical systems
  • Normative systems
  • Values in MAS (privacy, safety, security, transparency,…)
  • Monitoring agent societies
  • Coordination and control models for multiagent systems
  • Architectures for social reasoning
  • Trust and reputation
  • Policy, regulation and legislation
  • Self-organization

• Learning and Adaptation:

• • Reward structures for learning
  • Evolutionary algorithms
  • Co-evolutionary algorithms
  • Multiagent learning
  • Reinforcement learning
  • Deep learning
  • Adversarial machine learning
  • Learning agent capabilities (agent models, communication, observation)
  • Learning agent-to-agent interactions (negotiation, trust, coordination)

• Agents & Mainstream Computing:

• • Service-oriented architectures
  • Mobile agents
  • Autonomic computing
  • P2P, web services, grid computing, IoT, HPC

• Economic Paradigms:

• • Auctions and mechanism design
  • Bargaining and negotiation
  • Behavioral game theory
  • Cooperative games: theory & analysis
  • Cooperative games: computation
  • Noncooperative games: theory & analysis
  • Noncooperative games: computation
  • Social choice theory
  • Game theory for practical applications

• Verification and Validation of Agent-based Systems:

• • Testing of agent-based systems, including model-based testing
  • Verification techniques for multiagent systems, including model checking
  • Synthesis of agent-based systems
  • Fault tolerance and resilience of multi-agent systems
  • Testing and debugging multiagent programs

• Agent-based Simulation:

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