Implementing Causal Perception: Competing SCMs and Situated Fairness
Causal perception occurs when agents with competing Structural Causal Models (SCMs) of the same system infer different probability distributions, including the hypothetical distributions implied by each agent's SCM under the same set of interventions. It shapes how agents reason about the system and how they perceive its fairness. Causal perception is a promising probabilistic framework, but it…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
