Actual causal strength #
Icard, Kominsky and Knobe measure how strongly a cause brought about an outcome by weighting its
sufficiency by the probability of the cause and its necessity by the probability of its absence.
Here worlds are draws ι → Bool of binary variables under a probability measure μ, and a cause
is a set S of variables showing the draws of an actual round w₀, as Konuk, Quillien and
Mascarenhas extend the measure to plural causes.
Main definitions #
CausalStrength.cause: the event that the variables ofSshow their actual draws.CausalStrength.necessity: the probability that the outcome fails when the cause's variables are redrawn short of the cause and the others keep their actual draws.CausalStrength.sufficiency: the probability, where neither cause nor outcome holds, that forcing the cause on produces the outcome.CausalStrength.score: sufficiency weighted by the cause's probability plus necessity weighted by its absence's.
Main results #
CausalStrength.score_singleton: under a product measure, a single cause scores its probability times its sufficiency, plus its absence's probability when flipping it removes the outcome.CausalStrength.score_pi_cause: under a product measure, when the outcome is that the variablesTshow their actual draws, a part ofTscores the probability of its absence plus that of the outcome.
References #
The plural cause S in the actual round w₀ is the event that every urn of S shows its
actual draw.
Equations
- CausalStrength.cause w₀ S = (↑S).pi fun (i : ι) => {w₀ i}
Instances For
Equations
- CausalStrength.instDecidablePredForallBoolMemSetCause x✝ = decidable_of_iff (∀ i ∈ S, x✝ i = w₀ i) ⋯
A plurality of causes is a stronger event than any part of it.
The necessity of the plural cause S for the outcome E is the probability that the outcome
fails when the urns of S are redrawn from μ, short of all showing their actual draws, and every
other urn keeps its actual draw.
Equations
- CausalStrength.necessity μ w₀ E S = μ[{w : ι → Bool | S.piecewise w w₀ ∉ E} | (CausalStrength.cause w₀ S)ᶜ]
Instances For
The sufficiency of the plural cause S for the outcome E is the probability, over the
worlds of μ where neither the cause nor the outcome holds, that forcing the cause on produces the
outcome.
Equations
- CausalStrength.sufficiency μ w₀ E S = μ[{w : ι → Bool | S.piecewise w₀ w ∈ E} | (CausalStrength.cause w₀ S)ᶜ ∩ Eᶜ]
Instances For
The score of the plural cause S for the outcome E weights its sufficiency by its
probability and its necessity by the probability of its absence.
Equations
- CausalStrength.score μ w₀ E S = μ (CausalStrength.cause w₀ S) * CausalStrength.sufficiency μ w₀ E S + μ (CausalStrength.cause w₀ S)ᶜ * CausalStrength.necessity μ w₀ E S
Instances For
A cause whose absence never removes the outcome, the other urns keeping their actual draws, is not necessary at all.
A cause whose absence always removes the outcome is fully necessary.
A cause that produces the outcome whenever it is forced on is fully sufficient.
A cause that is fully sufficient and fully necessary scores one.
A single cause is necessary exactly when flipping it in the actual round, the other urns kept, removes the outcome.
Under a product measure, events that depend on disjoint sets of urns are independent.
An urn's draw is independent of any event that changing the urn cannot affect.
The sufficiency of a single cause is the probability, over the other urns, that the outcome holds with the cause and fails without it, given that it fails without it.
The score of a single cause is its probability times its sufficiency, plus the probability of its absence when flipping it in the actual round removes the outcome.
When the outcome is that the urns T all show their actual draws, the score of a part S of
T is the probability that S is absent plus the probability of the outcome.
When the outcome is that the urns T all show their actual draws, of two parts of T the less
likely scores higher.