Search Results for author: Matt MacDermott

Found 4 papers, 0 papers with code

The Reasons that Agents Act: Intention and Instrumental Goals

no code implementations11 Feb 2024 Francis Rhys Ward, Matt MacDermott, Francesco Belardinelli, Francesca Toni, Tom Everitt

In addition, we show how our definition relates to past concepts, including actual causality, and the notion of instrumental goals, which is a core idea in the literature on safe AI agents.

Philosophy

Characterising Decision Theories with Mechanised Causal Graphs

no code implementations20 Jul 2023 Matt MacDermott, Tom Everitt, Francesco Belardinelli

How should my own decisions affect my beliefs about the outcomes I expect to achieve?

On Imperfect Recall in Multi-Agent Influence Diagrams

no code implementations11 Jul 2023 James Fox, Matt MacDermott, Lewis Hammond, Paul Harrenstein, Alessandro Abate, Michael Wooldridge

Multi-agent influence diagrams (MAIDs) are a popular game-theoretic model based on Bayesian networks.

Discovering Agents

no code implementations17 Aug 2022 Zachary Kenton, Ramana Kumar, Sebastian Farquhar, Jonathan Richens, Matt MacDermott, Tom Everitt

Causal models of agents have been used to analyse the safety aspects of machine learning systems.

Causal Discovery

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