Responsibility and blame: a structural-model approach

Details Responsibility and blame: a structural-model approach Responsibility and blame: a structural-model approach

2003-12-17

arxiv.org/abs/cs/0312038v1

Computer Science

Artificial Intelligence

Scientific paper

Causality is typically treated an all-or-nothing concept; either A is a cause of B or it is not. We extend the definition of causality introduced by Halpern and Pearl [2001] to take into account the degree of responsibility of A for B. For example, if someone wins an election 11--0, then each person who votes for him is less responsible for the victory than if he had won 6--5. We then define a notion of degree of blame, which takes into account an agent's epistemic state. Roughly speaking, the degree of blame of A for B is the expected degree of responsibility of A for B, taken over the epistemic state of an agent.

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