Call for Papers

The conference solicits papers addressing original research on autonomous agents and their interaction. Topics of interest 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
  • Models of emotions
  • 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
Humans and Agents:
  • Human-robot/agent interaction
  • Multi-user/multi-virtual-agent interaction
  • Agents competing against humans
  • Agent-based analysis of human interactions
  • Agents for improving human cooperative activities
Learning and Adaptation:
  • Reward structures for learning
  • Evolutionary algorithms
  • Co-evolutionary algorithms
  • Multiagent 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
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
Engineering Multiagent Systems:
  • Modelling and specification languages
  • Programming languages and frameworks for agents and multiagent systems
  • Development techniques, tools, and platforms
  • Methodologies for agent-based systems
  • Innovative agents and multiagent 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
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