Agent-Based Modelling (ABM) has seen increasing interest across various disciplines, ranging from economics and epidemiology to cybersecurity, social sciences, and climate policy. At the same time, recent progress in AI has yielded exciting new approaches to learning, calibrating, and analysing such models, including deep multi-agent learning and simulation-based inference. This interdisciplinary community is meant to bring together practitioners and theorists to boost ABM method development in AI, and stimulate novel applications across disciplinary boundaries.
New to the space of AI and/or Agent-Based Modeling? Take a look at our tutorial pages.
Click here for information on our hybrid-remote biweekly reading group based at the University of Oxford UK
Please follow us on Twitter: Follow @AI4ABM
We are excited to host our next workshop at ICLR 2023 in Kigali (Rwanda) on May 5th, 2023:
In the meantime, video recordings from our last workshop at ICML 2022 are online now free of charge:
|Dec 21, 2022||Our workshop proposal was accepted at ICLR 2023 (Kigali, Rwanda) as a hybrid in-person/remote workshop!|
|May 25, 2022||We now have a twitter account - please follow Follow @AI4ABM|
|Apr 21, 2022||Prof. Neil Ferguson (Imperial College London) is joining us remotely to talk about COVID-19 and ABMs. Location TBA.|
|Apr 7, 2022||The Large Agent Collider project kickoff meeting is taking place in St Hilda’s College, Oxford (it runs until April 8th).|
|Mar 18, 2022||We are stoked to announce that our workshop proposal “AI for Agent-Based Modelling” was accepted at the International Conference on Machine Learning taking place in Baltimore, Maryland from July 19th-24th. We have a number of fantastic speakers lined up and will soon publish our Call for Papers on this website.|
|Mar 10, 2022||We are excited to host Sören Mindermann, who will talk about his work on modelling COVID-19 interventions.|
|Feb 24, 2022||This will be the second session of the AI4ABM reading group. Note our changed time: 4:10pm at LR7! We will be discussing this paper.|
|Feb 10, 2022||The AI4ABM Reading Group launched successfully today, drawing a diverse crowd of 25+ AI and ABM practitioners, both in person and remote. We are excited to have reached critical mass already in the first meeting, and are looking forward to getting work done!|