United Kingdom

AAMAS is the largest and most influential conference in the area of agents and multiagent systems, bringing together researchers and practitioners in all areas of agent technology and providing and internationally renowned high-profile forum for publishing and finding out about the latest developments in the field. AAMAS is the flagship conference of the non-profit International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).  

AAMAS 2021 Workshops & Tutorials

The purpose of the International Conference on Agents and Artificial Intelligence is to bring together researchers, engineers and practitioners interested in the theory and applications in the areas of Agents and Artificial Intelligence. Two simultaneous related tracks will be held, covering both applications and current research work. One track focuses on Agents, Multi-Agent Systems and Software Platforms, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence.

ICAART 2020

The purpose of the International Conference on Agents and Artificial Intelligence is to bring together researchers, engineers and practitioners interested in the theory and applications in the areas of Agents and Artificial Intelligence.

Argumentation-based Dialogues and their Application to Interactive Intelligent Systems

tutorial

Designing Agents’ Preferences, Beliefs, and Identities

Machine Reasoning Explainability

Explainability, Trust and Ethics for Robots and Autonomous Systems

Ethics in Sociotechnical Systems

Multi-Agent Systems Approaches for COVID-19 and Future Pandemics

panel

https://d3smihljt9218e.cloudfront.net/transcript/12530/subtitle/d758cc774ceafd2fbfe9010dcadfaf44.vtt

English (automatic)

Argumentation-based Dialogues and their Application to Interactive Intelligent Systems

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Designing Agents’ Preferences, Beliefs, and Identities

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