Discovering agents

DOI10.1016/j.artint.2023.103963arXiv2208.08345OpenAlexW4381893005MaRDI QIDQ6136104

Tom Everitt, Zachary Kenton, Sebastian Farquhar, Matt MacDermott, Ramana Kumar, Jonathan Richens

Publication date: 28 August 2023

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2208.08345

zbMATH Keywords

game theoryartificial intelligencecausality

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

Cites Work

• Information-geometric approach to inferring causal directions
• Multi-agent influence diagrams for representing and solving games.
• Foundations of structural causal models with cycles and latent variables
• Graphs for Margins of Bayesian Networks
• Influence Diagrams for Causal Modelling and Inference
• Causal Inference Using the Algorithmic Markov Condition
• Bayesian Networks and Influence Diagrams
• Causality for Machine Learning
• Reasoning about causality in games
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