Brandon Mossop
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All (3)
Agent-Based Modelling (1)
Bayesian Inference (1)
Causal AI (1)
Causal Discovery (1)
Causal Inference (1)
Policy Simulation (1)
Simulation (1)
Uncertainty (1)

Research Notes

Short notes on causal AI, simulation, uncertainty, and emerging research ideas.

These notes are a place to develop research ideas in public, explain technical concepts in accessible language, and document experiments that may later become papers.

 

Causal AI Beyond Prediction

Causal AI
Causal Inference

Why useful AI systems increasingly need models of intervention, not only association.

Sep 18, 2026
 

Can Causal Discovery Learn the Rules of an Agent-Based Model?

Agent-Based Modelling
Causal Discovery
Simulation

A research direction for learning probabilistic agent behavior from observational data.

Sep 17, 2026
 

Why Policy Simulation Needs Uncertainty

Bayesian Inference
Policy Simulation
Uncertainty

Policy simulation should report distributions over outcomes, not only a single simulated future.

Sep 16, 2026
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© 2026 Brandon Mossop

 

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