AAMAS 18

International Conference on Autonomous Agents and Multiagent Systems (AAMAS-18)

AAMAS is the leading scientific conference for research in autonomous agents and multiagent systems. The AAMAS conference series was initiated in 2002 by merging three highly respected meetings: the International Conference on Multi-Agent Systems (ICMAS); the International Workshop on Agent Theories, Architectures, and Languages (ATAL); and the International Conference on Autonomous Agents (AA). The aim of the joint conference is to provide a single, high-profile, internationally respected archival forum for scientific research in the theory and practice of autonomous agents and multiagent systems. This edition will be a part of the Federated AI Meeting (FAIM) where AAMAS is co-located with several AI conferences including the International Joint Conference on Artificial Intelligence (IJCAI)/European Conference on Artificial Intelligence (ECAI) and the International Conference on Machine Learning (ICML).

AAMAS 2018, the 17th edition of the conference, will be held on July 10-15, in Stockholm, Sweden and is part of the Federated AI Meeting (FAIM), with the other conferences being IJCAI, ICML, ICCBR and SoCS. Please see the preliminary schedule for more information.

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

General Chairs:

• Elisabeth Andre (Universitat Augsburg, Germany)
• Sven Koenig (University of Southern California, USA)

Program Chairs:

• Mehdi Dastani (University of Utrecht, Netherlands)
• Gita Sukthankar (University of Central Florida, USA)