Desire Semantics — substrate for want/wish/hope #
This file collects three formalizations of desire ascriptions:
von Fintel @cite{von-fintel-1999} (
wantVF): "every undominated belief-world is a p-world", where the world ordering is induced by which desires each world satisfies.@cite{heim-1992} (
wantHeim): "for every doxastic alternativew', every closest p-world tow'is more desirable than every closest ¬p-world tow'". Three successive formulations from the paper are exposed: (27) naive Hintikka-style, (31) truth-conditional comparative-belief, and (37/39) the CCP-rephrased version with the (40) amendment aswantHeimDefined.@cite{phillips-brown-2025} (
wantQuestionBased): "every best answer in Q_c-Bel_S entails p", parameterized on a contextual question Q_c. Handles conflicting-desire ascriptions ("S wants p" + "S wants ¬p") by varying Q_c.
The first two are belief-based and packaged into a common
BeliefBasedDesireSemantics structure with a parametric no-go
theorem (bbds_no_simultaneous_want_p_and_negp): no belief-based
semantics can predict simultaneous want(p) and want(¬p) against a
single belief state. PB's wantQuestionBased evades the no-go by
selecting from Q-Bel_S rather than directly from Bel_S.
Phillips-Brown 2025 metasemantic constraints #
The PB substrate exposes four metasemantic constraints:
- Considering (paper §3.6): every cell of Q_c settles p.
- Diversity (paper §3.7, attributed to @cite{condoravdi-2002}): Q_c contains both p-cells and ¬p-cells.
- Anti-deckstacking (paper §3.7): for every "natural" proposition q,
if some cell of Q_c entails q, then q is itself considered. The
substrate parameterizes the constraint on a
naturalPropstest set rather than quantifying over all ofSet W(seeisAntiDeckstacking). - Belief-sensitivity (paper §4.2, building on @cite{yalcin-2018}'s question-sensitive belief): Bel_S discriminates among the cells of Q_c.
The question-based mechanism is inspired by @cite{crnic-2014} (an idea the paper credits as previously unformalized), parallels Yalcin's question-sensitive belief on the doxastic side, and was independently arrived at via a different route by Dandelet (situations rather than questions).
The von Fintel @cite{von-fintel-1999} baseline (wantVF) is included as
a foil. The paper's central metasemantic identity (paper §3.4) is that
when Q_c is the finest partition (singleton cells), question-based want
reduces to von Fintel's standard semantics — see
wantQuestionBased_finestPartition_iff_wantVF. Heim 1992
(comparative-belief) is not formalized here; the no-go theorem
wantVF_no_simultaneous_pq_and_negpq covers von Fintel only.
The world ordering used by wantVF is structurally identical to
@cite{kratzer-1981}'s ordering (every desire satisfied at z is also
satisfied at w); see worldAtLeastAsGood_iff_kratzer_atLeastAsGoodAs
for the bridge.
Decidable propositions #
A DecProp W bundles a Set W with its DecidablePred witness so it
can sit as the element type of a partition list while remaining
decide-able. This is a structure (not Subtype) because
DecidablePred lives in Type, not Prop.
A Set W paired with its DecidablePred witness.
- prop : Set W
The underlying
Prop-valued proposition. - dec : DecidablePred self.prop
Decidability witness for the underlying proposition.
Instances For
Smart constructor for a DecProp from a Set W with synthesizable
decidability.
Equations
- Semantics.Attitudes.Desire.mkDec p = { prop := p, dec := h }
Instances For
Equations
Decidable subset / overlap on Set W #
Mathlib's s ⊆ t and (s ∩ t).Nonempty are not auto-decidable on Set
(the elaborator does not unfold Set.Subset to see the underlying ∀).
We expose @[reducible] aliases that are decidable under
[Fintype W] + DecidablePred for both arguments. The aliases are
definitionally equal to their Set-API counterparts and are intended
to read as the same operation.
propEntails p q ↔ p ⊆ q (definitionally), with decidability.
Equations
- Semantics.Attitudes.Desire.propEntails p q = ∀ (w : W), p w → q w
Instances For
propOverlap p q ↔ (p ∩ q).Nonempty (definitionally), with
decidability.
Equations
- Semantics.Attitudes.Desire.propOverlap p q = ∃ (w : W), p w ∧ q w
Instances For
Propositional preference (von Fintel 1999, paper §3.5) #
The paper's preference relation between answers a, a' ∈ Q_c-Bel_S:
S prefers a to a' iff {p ∈ G_S : a' ⊆ p} ⊊ {p ∈ G_S : a ⊆ p}
— i.e. strict subset inclusion of satisfied desires. We expose the
weak relation ≤ via SatisfactionOrdering.ofCriteria and the strict
relation via SatisfactionOrdering.strictlyBetter; the paper's "best
answers" are the maxima under the strict relation, i.e. the
Pareto-undominated elements (see paper §3.5, p. 11:21).
Proposition ordering: a ≤ a' iff every desire in GS that a'
entails, a also entails. The Pareto-undominated elements under
this relation are the "best answers" of @cite{phillips-brown-2025}
§3.5.
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Best (= Pareto-undominated) answers among a candidate list.
Equations
- Semantics.Attitudes.Desire.undominatedAnswers GS answers = (Semantics.Attitudes.Desire.propositionOrdering GS).undominated answers
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Question-relative belief (paper §3.3) #
Q_c-Bel_S = the cells of Q_c compatible with S's beliefs.
The cells of answers that overlap belS.
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Core semantics #
⟦S wants p⟧^c = every undominated answer in Q_c-Bel_S entails p. The paper's central definition (paper §3.5).
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Equations
- Semantics.Attitudes.Desire.instDecidableWantQuestionBased belS GS answers p = Semantics.Attitudes.Desire.instDecidableWantQuestionBased._aux_1 belS GS answers p
von Fintel baseline (paper §2.1) #
wantVF evaluates to "every undominated belief-world is a p-world",
where the world ordering is induced by which desires each world
satisfies. Structurally identical to @cite{kratzer-1981}'s
atLeastAsGoodAs; see the bridge theorem
worldAtLeastAsGood_iff_kratzer.
World ordering induced by a desire list: w ≤ z iff every desire
in GS satisfied at z is also satisfied at w. Decidable
version (each p.prop carries its own DecidablePred witness).
Equations
- Semantics.Attitudes.Desire.worldAtLeastAsGood GS w z = ∀ p ∈ GS, p.prop z → p.prop w
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The desire-induced world ordering coincides with Kratzer's ordering over the projected proposition list.
Standard von Fintel @cite{von-fintel-1999} semantics: every undominated
belS-world is a p-world. The [DecidablePred] hypotheses are not
used in the definition body; they live on the Decidable instance
so that abstract reasoning (e.g. instances of
BeliefBasedDesireSemantics) can use wantVF without supplying
them.
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Metasemantic constraints (paper §3.6, §3.7, §4.2) #
Considering Constraint (paper §3.6): every cell of Q_c either entails p or entails ¬p. Equivalently (over partition cells): p is a union of cells.
Equations
- Semantics.Attitudes.Desire.isConsidered answers p = ∀ a ∈ answers, (∀ (w : W), a.prop w → p w) ∨ ∀ (w : W), a.prop w → ¬p w
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Equations
Diversity Constraint (paper §3.7, attributed to @cite{condoravdi-2002}): Q_c contains both p-cells and ¬p-cells. Without diversity, ⟦want p⟧ would be vacuously true (or false).
Equations
- Semantics.Attitudes.Desire.isDiverse answers p = ((∃ a ∈ answers, ∀ (w : W), a.prop w → p w) ∧ ∃ a ∈ answers, ∀ (w : W), a.prop w → ¬p w)
Instances For
Equations
Anti-deckstacking (paper §3.7) #
The paper quantifies over "all q": if some cell entails q, then q must
itself be considered relative to Q_c. The naive ∀ q : Set W over a
finite model trivially fails on gerrymandered subsets — e.g. for the
qNapRest 4-cell partition, q = {w₀, w₁, w₂} is entailed by the
nap ∧ rested cell {w₀, w₁} but not settled by the nap ∧ ¬rested
cell {w₂, w₃} (which contains w₂ ∈ q and w₃ ∉ q). These
violations are artifacts of the encoding, not of the question.
The substrate solves this by parameterizing the constraint on a
test set of natural propositions naturalProps — the propositions
the modeller deems salient for the model. For PB's qDeckstacked
example, naturalProps = [r, h] correctly fails AD (cell ¬r ∧ h
entails h, but h is not considered by qDeckstacked — the r cell
neither entails h nor entails ¬h). For qNapRest and qRainHappy
with the same naturalProps, AD passes (those questions cross-cut both
basic dimensions).
Anti-deckstacking Constraint (paper §3.7), parameterized on the
test set of natural propositions naturalProps: for every
q ∈ naturalProps, if some cell of answers entails q, then q
must be considered relative to answers.
The naturalProps parameter is the modeller's chosen vocabulary of
salient propositions; passing the empty list trivially satisfies the
constraint, so study files must opt in by listing the basic
propositions of their model.
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Equations
- Semantics.Attitudes.Desire.instDecidableIsAntiDeckstacking naturalProps answers = Semantics.Attitudes.Desire.instDecidableIsAntiDeckstacking._aux_1 naturalProps answers
Belief-sensitivity Constraint (paper §4.2, building on @cite{yalcin-2018}'s question-sensitive belief): Bel_S discriminates among the cells of Q_c — at least one answer is compatible with S's beliefs and at least one is incompatible. Blocks inferences like William III ⊨ "Avoid nuclear war" when the agent lacks the conceptual resources to grasp the question.
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Equations
- Semantics.Attitudes.Desire.instDecidableIsBelSensitive belS answers = Semantics.Attitudes.Desire.instDecidableIsBelSensitive._aux_1 belS answers
Full definedness condition for ⟦S wants p⟧^c. The paper requires
all four constraints (Considering §3.6, Diversity §3.7,
Anti-deckstacking §3.7, Belief-sensitivity §4.2). The
naturalProps parameter feeds Anti-deckstacking.
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Equations
- Semantics.Attitudes.Desire.instDecidableWantDefined belS naturalProps answers p = id inferInstance
Partial-proposition wrapper (paper §3.6) #
The presupposition is the four-constraint definedness predicate; the
assertion is the question-based truth condition. Both are
world-independent because Q_c is contextually fixed prior to
evaluation; we expose them as a PrProp W for uniformity with
linglib's presupposition infrastructure, with the world argument
suppressed.
Question-based want as a partial proposition (Core.PrProp):
presupposition = full definedness; assertion = question-based truth.
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§3.4 metasemantic identity: finest question simulates vF #
When Q_c is the finest partition (every cell is a singleton world),
the question-based semantics reduces to standard vF. The substrate
provides the construction parameterized on an explicit world list so
the result is computable and decide-able for concrete models.
The finest partition over an explicit world list: one singleton cell per listed world.
Equations
- Semantics.Attitudes.Desire.finestPartition worlds = List.map (fun (w : W) => Semantics.Attitudes.Desire.mkDec fun (x : W) => x = w) worlds
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§3.4 supporting lemmas #
The §3.4 metasemantic identity is proved via three helper lemmas
(singleton-cell preference reduces to single-world preference under
worldAtLeastAsGood; the question-relative belief filter on
finestPartition selects exactly the singleton cells of belS-worlds;
undominated singleton cells correspond to Pareto-undominated
belS-worlds), then a direct two-direction iff proof.
§2 no-go: vF cannot predict simultaneous want p and want ¬p #
The paper's central argument against belief-based semantics. For any
non-empty belief state with at least one undominated world, vF cannot
make both wantVF belS GS p and wantVF belS GS (¬p) true at the
same context.
No-go for vF (paper §2.1): if some belS-world is undominated,
then no vF-prediction makes both want p and want ¬p true.
Closure properties (paper §4.1, §4.2) #
vF is upward monotonic: if p ⊆ q and wantVF belS GS p,
then wantVF belS GS q. This is the @cite{villalta-2008}
doxastic-closure problem that motivates the question-based
approach (paper §4.1).
Question-based want is Strawson upward monotonic (paper §4.2):
wantQuestionBased belS GS Q p, p ⊆ q, and q considered
relative to Q jointly imply wantQuestionBased belS GS Q q. The
Considering presupposition is what blocks naive upward monotonicity
that derived "Avoid-war ⊨ Avoid-nuclear-war" from "wants
Avoid-war".
@cite{heim-1992} comparative-belief desire semantics #
The paper has three successive truth conditions for want, each fixing
a defect of the prior. We expose all three as a feature, not a bug — it
shows the trajectory and lets future readers reproduce the argument.
(27) The naive Hintikka-style want (paper §3, p. 192): "every bouletic
alternative is a φ-world." Heim immediately rejects it via Asher's
Concorde counterexample at (32) p. 194. We formalize it as wantHeimNaive
to make the rejection-by-counterexample testable.
(31) Truth-conditional comparative-belief want (paper §4.1, p. 193 —
the canonical "Heim semantics"): "α wants φ is true at w iff for every
w' ∈ Dox_α(w): every φ-world maximally similar to w' is more desirable
to α than any non-φ-world maximally similar to w'." This is the textbook
formulation.
(37/39) CCP-rephrased Heim want (paper §4.2.2, p. 197): same content,
but the proposition is restricted to Dox first
(Sim_w'(Dox_α(w) + φ) <_{α,w} Sim_w'(Dox_α(w) + ¬φ)). The (40)
amendment makes this undefined when the agent already believes φ
or already believes ¬φ — a presupposition failure that is the
formal mechanism behind Heim's account being unable to predict
simultaneous want(p) ∧ want(¬p).
Heim does NOT use a Kratzer-style ordering source — she uses a
@cite{lewis-1973} / @cite{stalnaker-1968} similarity ordering on worlds.
The desirability <_{α,w} is treated as primitive (a relation between
worlds, parameterized by agent and evaluation world), not derived from
a desire-list the way vF's is.
Parameters for Heim 1992's desire semantics: a similarity ordering
on worlds (for Sim_w(p) = closest p-worlds to w) and a comparative
desirability relation pref w_eval x y saying "at evaluation world
w_eval, world x is at least as desirable as world y".
- sim : Core.Order.SimilarityOrdering W
The Lewis–Stalnaker similarity ordering on worlds.
- pref : W → W → W → Prop
Comparative desirability
pref w_eval x y: atw_eval,xis more desirable thany. The agent argument is suppressed (single-agent setup). - prefDec (w x y : W) : Decidable (self.pref w x y)
Decidability of the desirability relation.
Instances For
Equations
- Semantics.Attitudes.Desire.instDecidablePref params w x y = params.prefDec w x y
Sim_w(p) restricted to belS ∩ p: the closest worlds in
belS ∩ p to w under the similarity ordering. Heim's formulation
(37) restricts the proposition argument of Sim to the doxastic
base, which is what makes the Limit Assumption automatic on a
finite model.
Equations
- Semantics.Attitudes.Desire.heimSim params belS p w = params.sim.closestWorlds w {z : W | belS z ∧ p z}
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Heim 1992 (27), the naive Hintikka-style baseline: "α wants φ" iff every bouletic alternative (here: every belief-world; we suppress the bouletic/doxastic distinction at the substrate level) is a φ-world. Provided to enable formalizing Asher's (32) Concorde counterexample as a test of the analysis Heim rejected.
Equations
- Semantics.Attitudes.Desire.wantHeimNaive belS p = ∀ (w : W), belS w → p w
Instances For
Heim 1992 (37/39), the canonical comparative-belief semantics:
"α wants φ" at w_eval iff for every doxastic alternative w' ∈ belS,
every closest belS ∩ φ-world to w' is at least as desirable as
every closest belS ∩ ¬φ-world to w'.
The doxastic-alternative quantifier ranges over a Finset so the
Decidable instance below can be derived via Finset.decidableBAll.
The [DecidablePred belS]/[DecidablePred p] are needed because
heimSim uses them.
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- One or more equations did not get rendered due to their size.
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Equations
- Semantics.Attitudes.Desire.instDecidableWantHeim belS params w_eval p = Semantics.Attitudes.Desire.instDecidableWantHeim._aux_1 belS params w_eval p
Heim's (40) amendment (paper §4.2.3, p. 198): ⟦α wants φ⟧ is defined
only when the agent does not already believe φ and does not already
believe ¬φ. Equivalently: both belS ∩ φ and belS ∩ ¬φ are
non-empty.
Equations
- Semantics.Attitudes.Desire.wantHeimDefined belS p = ((∃ (w : W), belS w ∧ p w) ∧ ∃ (w : W), belS w ∧ ¬p w)
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Heim no-go: comparative-belief blocks simultaneous want(p) ∧ want(¬p) #
The proof shape: pick any w' ∈ belS (exists since wantHeimDefined
gives non-empty belS ∩ p). Pick any x ∈ Sim p w' and any
y ∈ Sim ¬p w' (both non-empty under wantHeimDefined). Then
wantHeim belS params w_eval p gives pref w_eval x y and
wantHeim belS params w_eval ¬p gives pref w_eval y x. Strict
asymmetry of pref — i.e., pref w x y ∧ pref w y x → x = y for the
weak relation, or pref w x y → ¬ pref w y x for the strict — yields
x = y, but x ∈ p and y ∈ ¬p (since Sim's first arg restricts to
belS ∩ p / belS ∩ ¬p), contradiction.
The substrate exposes the asymmetry as a hypothesis to keep the no-go applicable to both strict and partial-order desirability relations.
A belS ∩ p-world reachable via similarity from any belS-world
under the limit assumption, i.e. when wantHeimDefined holds, gives
a non-empty heimSim params belS p w'. Discharges Heim's Limit
Assumption automatically on finite types via
Core.Order.SimilarityOrdering.closestWorlds_nonempty.
Heim no-go theorem: under the (40) definedness amendment and a
strictly asymmetric desirability relation, no Heim-semantic
prediction makes both want(p) and want(¬p) true.
Proof: extract a witness from each Sim (non-empty by
heimSim_nonempty), then chase strict asymmetry of pref to a
p w ∧ ¬ p w contradiction.
The asymmetry hypothesis hAsym is the substantive condition: it
says pref is a strict (irreflexive) preference, i.e., a world
cannot be strictly preferred to itself. Standard for any
well-formed comparative desirability.
Belief-based desire semantics: structural typology and parametric no-go #
A BeliefBasedDesireSemantics packages a desire-semantic device that
takes (Bel_S, parameters, evaluation world, proposition) and returns a
truth value, without any contextual question parameter outside this
shape. Both vF and Heim are instances; PB's wantQuestionBased is
not (its question parameter answers plays a non-trivial role that
varies per ascription).
The structure operates on Set W to match the substrate's underlying
predicates and to make the want(p) ∧ want(¬p) no-go statement
notation-clean (using fun w => ¬ p w rather than Finset.univ \ p,
which would require an awkward Finset.mem_sdiff rewrite chain).
Decidability inside instances is supplied via Classical.dec — the
structure is for Prop-level reasoning, not for decide. The
substrate-level wantVF/wantHeim retain their per-instance
decidability for concrete decide proofs in study files.
A belief-based desire semantics on world type W. defined
carries the presuppositional definedness condition; want is the
truth condition. Both range over Set W for the doxastic state and
proposition.
- Param : Type u_3
Type of additional parameters (desire list for vF, similarity + pref for Heim, etc.).
Definedness condition: the presupposition that ⟦S wants p⟧^c is defined at the configuration.
Truth condition: when defined, the prediction of ⟦S wants p⟧^c.
Instances For
A semantics is conflict-blocking if no parameters/world make
want(p) and want(¬p) both true when both are defined. This is
the no-go theorem in slogan form: belief-based semantics cannot
handle conflicting desire ascriptions.
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vF as a BeliefBasedDesireSemantics instance. The evaluation-world
argument is suppressed (vF is world-independent at the want
level). The defined predicate requires both p and ¬p to overlap
with belS — strong enough that some belS-world is necessarily
undominated, which is what the vF no-go needs.
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A propositional-equivalent form of wantHeim that takes its
decidability arguments via Classical.decPred rather than from the
ambient typeclass context. Used in heimSemantics.want to ensure
the structure projection has a stable form independent of caller
decidability instances.
Equations
- Semantics.Attitudes.Desire.wantHeimClassical belS params w_eval p = Semantics.Attitudes.Desire.wantHeim belS params w_eval p
Instances For
The classical-decidability variant agrees with wantHeim under any
ambient decidability instances (via Subsingleton).
Heim as a BeliefBasedDesireSemantics instance. Definedness is
Heim's (40) amendment; want wraps wantHeimClassical (which
bakes in Classical.decPred so the structure projection is stable
across ambient decidability instances). Abstract reasoning at the
typology level is Prop-only; the wantHeimClassical_iff_wantHeim
bridge converts to/from the typeclass-decidable form.
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Parametric no-go theorems for the structural typology #
vF is conflict-blocking (parametric no-go). The defined
predicate requires both p-witnesses and ¬p-witnesses in belS, which
is exactly what wantVF_no_simultaneous_pq_and_negpq needs after
we extract a Pareto-undominated witness via finite-preorder
minimal-element existence.
Heim is conflict-blocking (parametric no-go) at any
(params, w_eval) with strict preference asymmetry. Delegates to
wantHeim_no_simultaneous_pq_and_negpq.
Bridge to Core.Question infrastructure #
PB's List (DecProp W) is a finite-presentation view of a partition
question. The substrate exposes bridge theorems showing each PB
predicate corresponds to a property of the underlying
Core.Question W:
wantQuestionBased"every undominated answer entails p" relates to the partition property "every undominated cell ofQentailsp" — i.e.,∀ q ∈ alt Q, q ∈ undominated → q ⊆ p.isConsideredcorresponds topartial-answerhood for the polar question of p: every cell of Q is either a confirming or refuting answer to "p?".
The toQuestion constructor lifts a List (DecProp W) to
Core.Question W via Question.ofList.
Lift a list of decidable cells to a Core.Question W.
Equations
- Semantics.Attitudes.Desire.toQuestion answers = Core.Question.ofList (List.map (fun (x : Semantics.Attitudes.Desire.DecProp W) => x.prop) answers)
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isConsidered Q p agrees with the polar-answerhood reading of
every cell: each cell either entails p or entails pᶜ, which is
exactly "every cell is a partial answer to the polar question of
p".
@cite{lassiter-2017} (apparatus) / @cite{lassiter-2011} (want application): #
Expected-value desire semantics
@cite{lassiter-2017} ch.7 (titled "Scalar goodness", not a desire
chapter) develops an expected-value semantics for evaluative gradable
predicates: E_V(φ) = Σ_{w ∈ φ ∩ D} V(w) · prob({w} | φ ∩ D) (eq. 7.22,
p.187). The book's positive-form ought (§8.14 eq. 8.72a, p.253) is
exactly the threshold reading μ_ought(φ) > θ_ought we adopt as want.
The book extends to want in a single sentence at §8.13 (p.249):
"want behaves as a gradable verb like like, matter, care, [...]
need." The detailed want-as-EU account lives in @cite{lassiter-2011}
ch.6 (NYU dissertation).
The substrate exposes:
Lassiter.expectedValue pr V belS p— conditional expected value ofpgiven the agent's belief state. Convention: returns0whenp ∩ belS = ∅(Lassiter notes E_V undefined here, p.187 fn.).Lassiter.want belS pr V θ p— Lassiter-style positive-form want:E_V(p|bel) > θ. Matches paper §8.14 eq. 8.72a.Lassiter.slomanPrinciple(paper §8.6 eq. 8.16, p.216) — a constraint that the wanted proposition strictly dominates every other relevant alternative on the value scale.Lassiter.wantWithSloman— Lassiter's full account: bare threshold AND Sloman's Principle.
The bare threshold form admits simultaneous want(p) ∧ want(¬p)
(Lassiter.threshold_admits_conflict_witness), violating the substrate's
BeliefBasedDesireSemantics.isConflictBlocking. This makes Lassiter's
bare apparatus a sibling of vF/Heim/PB, not a BBSemantics
instance. Lassiter and Phillips-Brown are different ways of escaping
the no-go: PB via question-sensitivity, Lassiter via
probabilistic-decision-theoretic gradability.
However, Lassiter's full account blocks the witness. Per paper
§8.11 (p.245): "we should not weaken the semantics to make room for
the simultaneous truth of ought(φ) and ought(¬φ). Instead, we should
allow that there are various, possibly conflicting sources of
value..." Sloman's Principle (eq. 8.16, p.216;
Lassiter.wantWithSloman_blocks_conflict) excludes the witness on a
single value function; genuine conflicting wants come from multiple
value sources with weighted aggregation (§8.11 pp.243-245), not from
single-V threshold-tuning. The bare threshold's admission of conflict
is what Cariani 2013 attacks; Lassiter's response is not "let
single-V conflict happen" but "let multi-source aggregation explain
the data without single-V conflict."
The substrate exposes both layers (bare threshold + Sloman-augmented full account) so the reader can see exactly which Lassiter-flavored claim is being made.
§1. Bare expected-value apparatus #
Conditional expected value of p given belief state belS under
prior pr and value function V. Lassiter 2017 §7.6 eq. 7.22:
E_V(p) = Σ_{w ∈ p ∩ belS} V(w) · pr({w} | p ∩ belS)
Expanded as a ratio:
E_V(p) = (Σ pr·V over (p ∩ belS)) / (Σ pr over (p ∩ belS))
Indicator-style sums (rather than Finset.filter) make the
definition decide-friendly for concrete witness models. The two
sums are inlined (not let-bound) so that downstream rw calls
don't have to unfold a have-binding. Returns 0 when the
denominator is zero (Lassiter notes E_V undefined for the empty
proposition, p.187 fn.; we make the 0 convention).
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Lassiter-style positive-form want: ⟦S wants p⟧ iff the
conditional expected value of p given S's beliefs exceeds
threshold θ. Matches paper §8.14 eq. 8.72a's scalar
interpretation μ_ought(φ) > θ_ought, extended to want per
§8.13 + Lassiter 2011 ch.6.
Equations
- Semantics.Attitudes.Desire.Lassiter.want belS pr V θ p = (Semantics.Attitudes.Desire.Lassiter.expectedValue pr V belS p > θ)
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Equations
- Semantics.Attitudes.Desire.Lassiter.instDecidableWant belS pr V θ p = Semantics.Attitudes.Desire.Lassiter.instDecidableWant._aux_1 belS pr V θ p
§2. Sloman's Principle (paper §8.6 eq. 8.16, p.216) #
ought(φ) → [∀ψ ∈ ALT(φ) : ψ ≠ φ → φ >_good ψ]
The wanted proposition strictly dominates every other alternative on
the value scale. This is the constraint Lassiter adopts to block
simultaneous truth of ought(φ) ∧ ought(¬φ) when both are in the
alternative set.
Sloman's Principle: p strictly dominates every other listed
alternative on the expected-value scale. Decidable via the
underlying expectedValue decidability.
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Lassiter's full account: the bare threshold AND Sloman's
Principle. This is the actual account Lassiter defends in §8;
the bare want operator alone is the apparatus, not the position.
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§3. Bridge to Core.Agent.DecisionTheory #
Lassiter.expectedValue is the proposition-conditional analog of
Core.Agent.DecisionTheory.conditionalEU. Wrapping the value function
as a unit-action utility makes the bridge explicit.
Wrap a Lassiter (prior, value) pair as a unit-action
DecisionProblem.
Equations
- Semantics.Attitudes.Desire.Lassiter.toDecisionProblem pr V = { utility := fun (w : W) (x : Unit) => V w, prior := pr }
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§4. Conflict witness for the bare threshold #
A 4-world model demonstrating that the bare want operator (without
Sloman) admits simultaneous want(p) ∧ want(¬p). Uniform prior 1/4 over
Fin 4; asymmetric value V = (10, 4, 4, 0); threshold θ = 3/2;
p = {w₀, w₁}. Then E_V(p) = 7 > 3/2 and E_V(¬p) = 2 > 3/2.
This is Lassiter Table 8.4 p.239 — Lassiter's reconstruction of the
Weakening-failure pattern @cite{cariani-2016} attacks within actualism,
applied to the EV semantics. Cariani 2016's own counter-model
(p.405) uses an actualist closeness ordering, not EV. Lassiter's
response is to add Sloman's Principle, which excludes the witness
(see wantWithSloman_blocks_conflict_on_witness below).
Lassiter's bare apparatus is structurally outside the
belief-based family. The threshold_admits_conflict_witness model
cannot be reproduced by any BeliefBasedDesireSemantics instance
that satisfies isConflictBlocking. Stated as a direct existential
— no padding with the isConflictBlocking definition unfolding.
§5. Sloman's Principle blocks the witness #
Lassiter's full account adds Sloman's Principle (eq. 8.16 p.216).
On the conflict-witness model with alts = [propP, ¬propP], Sloman
holds for propP (E_V(propP) = 7 > 2 = E_V(¬propP) ✓) but FAILS for
¬propP (E_V(¬propP) = 2 ≯ 7 = E_V(propP) ✗). So
wantWithSloman makes only propP wanted, blocking the conflict.
This formalizes Lassiter's §8.11 (p.245) position: single-V conflict is blocked by his own constraints; genuine conflicting wants come from multi-source aggregation, not from threshold-tuning.
§6. Intermediacy of expectedValue (paper §7.5, §7.6 p.188) #
Lassiter §7.5 establishes that S_good is an intermediate scale: the
goodness of φ ∨ ψ is between the goodness of φ and the goodness of
ψ (rather than maximal — equal to the better of the two — or
positive — strictly above both). In §7.6 (p.188), the disjoint union
formula
E_V(φ ∨ ψ) = (E_V(φ)·prob(φ) + E_V(ψ)·prob(ψ)) / (prob(φ) + prob(ψ))
shows E_V is a weighted average over disjoint propositions, hence intermediate.
We formalize the disjoint case directly: for disjoint p, q with
positive belief mass, min(E_V(p), E_V(q)) ≤ E_V(p ∪ q) ≤ max(...).
This is the key abstract scalar property that underlies Weakening
(below) and is the empirical motivation for Lassiter's whole
expected-value semantics.
A proposition has positive belief mass if some belS-world
satisfies it. Decidability is inherited via the fact that
Set.Nonempty (belS ∩ p) is decidable on finite types.
Equations
- Semantics.Attitudes.Desire.Lassiter.hasPositiveBeliefMass pr belS p = ((∑ w : W, if belS w ∧ p w then pr w else 0) > 0)
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Intermediacy of E_V (disjoint case): for disjoint propositions
p, q with positive belief mass, E_V(p ∪ q) lies between
E_V(p) and E_V(q).
The formal claim: when both sides are well-defined and the prior
is non-negative on the support, min(E_V(p), E_V(q)) ≤ E_V(p ∪ q) ≤ max(E_V(p), E_V(q)).
Proof is left as sorry pending the algebraic manipulation of the
indicator-style sum (the inequality is well-known for weighted
averages but the bookkeeping over Finset.sum of if-then-else
expressions is non-trivial). The statement is the load-bearing
item; consumers (e.g. want_satisfies_weakening_disjoint) can use
it via the named theorem without waiting for the proof.
§7. Smith Principle and Weakening (paper §8.10, §8.14 eq. 8.54) #
Lassiter eq. 8.54 collects three constraints on ought:
- (a) Sloman (Sloman 1970):
ought(φ) → ∀ψ ∈ ALT(φ), ψ ≠ φ → φ >_good ψ(already formalized asslomanPrinciple) - (b) Smith (Horty 1993, 2003):
[(φ ∨ ψ) = W ∧ ought(φ) ∧ ought(ψ)] → ought(φ ∧ ψ)— restricted agglomeration - (c) Weakening (@cite{cariani-2016}):
ought(φ) ∧ ought(ψ) → ought(φ ∨ ψ)
These are constraints on the want operator, not properties of single
propositions. We formalize each as a Prop relating two propositions;
the universally-quantified "operator satisfies the constraint" is the
∀ p q closure.
Provenance for Weakening: @cite{cariani-2016} introduces the name
and argues the principle is valid within actualist deontic semantics
(Cariani's own Counterexample to Weakening on p.405 attacks the
conjunction actualism + simple alternatives mapping; he wants to
preserve Weakening). Lassiter §8.14 derives Weakening from intermediacy
of E_V — see want_satisfies_weakening_disjoint. So in our
formalization, Weakening is named per Cariani 2016, defined as an
operator constraint, and derived (in the disjoint case) from the
intermediacy property of expected value (Lassiter §7.5, §7.6 p.188).
This honors linglib's "derive don't stipulate" discipline: Weakening
isn't a brute axiom — it falls out of the underlying scalar property.
Smith is stated as a separate constraint; its derivation requires more structure than intermediacy alone (Horty 1993, 2003).
Smith Principle (paper eq. 8.54b): if (p ∨ q) = univ and
both want(p) and want(q) hold, then want(p ∧ q) holds.
Formalized as a Prop parameterized on a specific (p, q) pair.
The "want operator satisfies Smith" is the ∀ p q closure.
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Weakening (paper eq. 8.54c): if both want(p) and want(q)
hold, then want(p ∨ q) holds. Lassiter argues this is empirically
valid (§8.10) and derivable from intermediacy of E_V (§8.14).
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Weakening from intermediacy (disjoint case): when p ⊥ q and
both have positive belief mass, the disjoint-union expected value
is at least the smaller of E_V(p) and E_V(q). So if both
exceed θ, so does their union.
This is Lassiter §8.14 eq. (8.78)'s derivation: intermediacy
means E_V(p ∨ q) ≥ min(E_V(p), E_V(q)) > θ.
The full Lassiter constraint trio (paper eq. 8.54): a want
operator satisfies the trio at (p, q) iff Sloman holds for p
and Smith and Weakening hold pointwise. The ∀ p q alts closure
over this gives Lassiter's full theory.
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The full constraint trio also blocks the conflict witness.
With Sloman as the active blocker (Smith and Weakening don't
directly address (p, ¬p) since they're closure constraints),
the trio inherits the blocking from wantWithSloman.