Kratzer (2012): Modals and Conditionals #
This file formalizes the distinction the book's second chapter draws, in its typology of conversational backgrounds, between realistic backgrounds representing evidence of things and informational backgrounds representing the propositional content of a source of information. A rumor that Roger was elected chief can feed either. As evidence of things it determines the worlds that contain a counterpart of the rumor, produced the same way; whether Roger's counterpart was elected there depends on how reliable the source is, so given the rumor, Roger must have been elected chief is false when the rumor rests on shaky evidence and true only when the source is reliable. As a source of information it determines the worlds compatible with what it says, so the German reportative sollen in dem Gerücht nach soll Roger zum Häuptling gewählt worden sein is true whatever the rumor's provenance, even a lie. The informational background is therefore not realistic, since the actual world need not be among the worlds the rumor describes.
The chapter's revised comparative possibility (§2.4) compares two propositions only on the worlds
where they differ. Along a ranking of worlds without ties, the probability measures that preserve
it are exactly those in which each world outweighs all worse worlds together, and Kratzer's toy
measure, giving the world wᵢ the probability 2ⁱ/15, is one of them. Once two worlds are
unranked and a third is not above them, no measure giving that third world weight preserves it, as
the chapter observes for ties. Under the Limit Assumption a ranking without ties has a single best
world, so necessity and possibility collapse (§2.5). With a tie they come apart. The necessary
propositions are then those necessary however the tie is resolved, a supervaluation that Stalnaker
proposed for counterfactuals, and the merely possible ones are those holding at exactly one of the
tied best worlds.
Implementation notes #
The worlds record whether Roger was elected and whether the rumor exists, so every claim is
decided over Bool × Bool. The evidence-of-things background at a world lists the status of
the rumor there; the informational background lists the rumor's content. Reliability is stated
generally, as a proposition of the background entailing the content wherever the rumor
exists, rather than as an extra coordinate. Counterparts are identified with the rumor's
status, since the model has no other individuals.
The toy examples' worlds are Fin 4, the index of wᵢ being i, and all of them are
accessible, so comparative possibility is KratzerLift of the induced ordering with no modal
base to restrict it. The chapter states the rankings O₁ and O₂ of §2.5 directly; here they are
induced by nested ordering sources, and O₁ is the ranking of §2.4. The general results of
§2.4–§2.5 are Kratzer's question and caveats answered for these operators rather than theorems the
chapter proves.
References #
A world records whether Roger was elected chief and whether the rumor that he was exists.
Equations
- Kratzer2012.World = (Bool × Bool)
Instances For
As evidence of things, the rumor makes the background at w record its status in w, so
the accessible worlds are those with a counterpart of the actual rumor, or with none if there is
none.
Equations
- Kratzer2012.evidence w = {fun (v : Kratzer2012.World) => v.2 = w.2}
Instances For
As a source of information, the rumor makes the background list its content.
Equations
- Kratzer2012.content = Function.const Kratzer2012.World {Kratzer2012.chief}
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Decide a claim about the backgrounds over the four worlds.
Equations
- Kratzer2012.tacticDecide_worlds = Lean.ParserDescr.node `Kratzer2012.tacticDecide_worlds 1024 (Lean.ParserDescr.nonReservedSymbol "decide_worlds" false)
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The evidence-of-things background is realistic, since every world has the rumor's status it has.
The informational background is not realistic, since at a world where the rumor is a lie the world itself is not among those compatible with the rumor's content.
The reportative reading of (8b) holds at every world, a lie included, because it reports the rumor's content.
On shaky evidence (8a) fails, since where the rumor exists the worlds with a counterpart of it include one where Roger was not elected, so Roger need not have been elected chief.
Yet the rumor leaves Roger's election possible wherever it exists.
From a reliable source (8a) holds. If the background also records that the rumor is reliable, a proposition entailing its content wherever the rumor exists, then Roger must have been elected chief, for any worlds and backgrounds.
Grades of possibility (§2.4–§2.5) #
Comparative possibility on a ranking of worlds is the revised lift KratzerLift, which compares
two propositions only on the worlds where they differ. Along a ranking without ties, the
probability measures that preserve it are those in which each world outweighs all worse worlds
together, and once two worlds are unranked with a third not above them, no measure giving that
third world weight preserves it. Under the Limit Assumption a ranking without ties has a single
best world, so necessity and possibility coincide. The toy examples of §2.4 and §2.5 are
instances on four worlds.
A measure is superincreasing along a ranking when each world outweighs all worse worlds together.
Equations
- Kratzer2012.Grades.Superincreasing μ = ∀ (a : α), μ (Set.Iio a) < μ {a}
Instances For
Under a superincreasing measure one proposition outweighs another disjoint from it exactly when some world of it is better than every world of the other.
No measure giving c weight preserves comparative possibility when neither of a and b is
strictly better than the other and c is not strictly better than a. The propositions {a} and
{b, c} are then equally good possibilities, which leaves c no weight (p. 41).
The measures that preserve comparative possibility along a ranking without ties are the superincreasing ones.
Under the Limit Assumption, necessity and possibility coincide when no two accessible worlds are tied or incomparable, since there is then a single best world (§2.5).
The toy example of §2.4 #
The worlds w₀, w₁, w₂, w₃ of the toy examples.
Equations
- Kratzer2012.Grades.World = Fin 4
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The ordering source of §2.4, {w₃}, {w₂, w₃} and {w₁, w₂, w₃} at every world, which
induces the ranking O₁ of §2.5.
Equations
- Kratzer2012.Grades.ideal x✝ = {fun (x : Kratzer2012.Grades.World) => 3 ≤ x, fun (x : Kratzer2012.Grades.World) => 2 ≤ x, fun (x : Kratzer2012.Grades.World) => 1 ≤ x}
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The ranking w₃ < w₂ < w₁ < w₀ is connected and has no ties, one world being at least as
good as another exactly when its index is at least the other's.
p is a better possibility than q when it is at least as good a possibility, in the
revised sense of §2.4, and not conversely.
Equations
- Kratzer2012.Grades.BetterPossibility p q = (ComparativeProbability.KratzerLift LE.le p q ∧ ¬ComparativeProbability.KratzerLift LE.le q p)
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Kratzer's probability measure gives wᵢ the probability 2ⁱ/15.
Equations
- Kratzer2012.Grades.prob = ∑ i : Kratzer2012.Grades.World, (2 ^ ↑i / 15) • MeasureTheory.Measure.dirac i
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The probability of a proposition is the sum of 2ⁱ over its worlds wᵢ, divided by 15,
which is the table of p. 42.
Kratzer's measure is a probability measure.
Each world outweighs all worse worlds together under Kratzer's measure.
One proposition is a better possibility than another exactly when it is more probable, so the measure preserves comparative possibility (p. 43).
The rankings of §2.5 #
The ordering source {w₂}, {w₂, w₃}, {w₁, w₂, w₃}, which induces the ranking O₂,
w₂ < w₃ < w₁ < w₀.
Equations
- Kratzer2012.Grades.swapped x✝ = {fun (x : Kratzer2012.Grades.World) => x = 2, fun (x : Kratzer2012.Grades.World) => 2 ≤ x, fun (x : Kratzer2012.Grades.World) => 1 ≤ x}
Instances For
The ordering source {w₂, w₃}, {w₁, w₂, w₃} of p. 46, which induces the ranking O₃,
w₂, w₃ < w₁ < w₀, with a tie.
Equations
- Kratzer2012.Grades.tied x✝ = {fun (x : Kratzer2012.Grades.World) => 2 ≤ x, fun (x : Kratzer2012.Grades.World) => 1 ≤ x}
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w₃ is the best world under O₁.
w₂ is the best world under O₂.
w₂ and w₃ are the best worlds under O₃.
A proposition is necessary under O₁ exactly when its probability is at least 8/15
(§2.5).
A proposition is possible under O₁ exactly when it is necessary, so exactly when its
probability is at least 8/15 (§2.5).
Under O₃ the necessary propositions are those containing w₂ and w₃ (p. 44).
The propositions necessary under O₃ are those necessary however the tie is resolved, under
both O₁ and O₂ (p. 44).
Resolving the tie collapses possibility into necessity, so the propositions possible under
both O₁ and O₂ are those necessary under both (p. 45).
Under O₃ the merely possible propositions, possible but not necessary, are those containing
exactly one of w₂ and w₃ (p. 45).
The probability measure of p. 46 gives w₀, w₁, w₂, w₃ the probabilities 1/11,
2/11, 4/11 and 4/11.
Equations
- Kratzer2012.Grades.probTied = ∑ i : Kratzer2012.Grades.World, (↑(![1, 2, 4, 4] i) / 11) • MeasureTheory.Measure.dirac i
Instances For
The measure of p. 46 is a probability measure.
Under O₃ a proposition is necessary exactly when its probability is at least 8/11
(p. 46).
Under O₃ a proposition is possible exactly when its probability is at least 4/11
(p. 46).
No measure giving w₁ weight, the measure of p. 46 among them, preserves the comparative
possibility of O₃, under which {w₂} and {w₁, w₃} are equally good possibilities.