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02/13/2021
Modelling Cooperation in Network Games with Spatio-Temporal Complexity
The real world is awash with multi-agent problems that require collectiv...
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10/18/2020
Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences
Game theoretic views of convention generally rest on notions of common k...
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06/17/2020
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context
Machine learning (ML) fairness research tends to focus primarily on math...
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05/15/2020
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics
Recent research on algorithmic fairness has highlighted that the problem...
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07/15/2019