Condoravdi & Lauer: The Effective Preference Theory of want #
@cite{condoravdi-lauer-2012} @cite{lauer-2013} @cite{condoravdi-lauer-2016} @cite{condoravdi-lauer-2011} @cite{lauer-condoravdi-2014}
The C&L analysis treats want as parameterized by a preferential
background — analogous to Kratzer's modal base/ordering source. The
distinguished background is the agent's effective preference function EP
(Core.Order.EffectivePreference).
Layout #
PreferentialBackground,EffectivePreferentialBackground— types.wantP{Exact, Success, QH}— the three readings from @cite{condoravdi-lauer-2016} eq. 71. Exact-match is canonical (eq. 69) and implies the other two (wantPExact_implies_*).wantEP— exact-match against the effective preferential background.maxOrderingSource—Set-valuedmax[EP(Ad, w)](eq. 88), the ordering source consumed by the inner modal in the double-modal anankastic analysis.
Anankastic-conditional analyses live in Phenomena/Conditionals/Studies/;
imperative analyses (C&L 2012, contra @cite{roberts-2023}'s
modal-in-LF account) in Phenomena/Directives/Studies/;
discourse-particle uses (@cite{deo-2025-bara}) in
Phenomena/SentenceMood/Studies/.
A preferential background: a function from agents and worlds to
preference structures. The C&L analog of Kratzer's ConvBackground.
Equations
- Semantics.Attitudes.CondoravdiLauer.PreferentialBackground Agent W = (Agent → W → Core.Order.PreferenceStructure W)
Instances For
An effective preferential background returns, at each world, the
agent's effective preference structure (consistent + realistic).
@cite{condoravdi-lauer-2016} (68): EP(a, w).
Equations
- Semantics.Attitudes.CondoravdiLauer.EffectivePreferentialBackground Agent W B = ((a : Agent) → (w : W) → Core.Order.EffectivePreference W (B a w))
Instances For
The semantics of want — three readings (@cite{condoravdi-lauer-2016} (71)) #
Exact-match (eq. 71c, the canonical reading; eq. 69):
wantP(a, φ) iff φ ∈ max[P(a, w)].
Equations
- Semantics.Attitudes.CondoravdiLauer.wantPExact P a φ w = (φ ∈ (P a w).maxElts)
Instances For
Success-oriented (eq. 71a): "satisfied if φ is true."
Some maximal preference is entailed by φ.
Equations
- Semantics.Attitudes.CondoravdiLauer.wantPSuccess P a φ w = ∃ p ∈ (P a w).maxElts, φ ⊆ p
Instances For
Quine-Hintikka (eq. 71b): "satisfied only if φ is true."
Some maximal preference entails φ.
Equations
- Semantics.Attitudes.CondoravdiLauer.wantPQH P a φ w = ∃ p ∈ (P a w).maxElts, p ⊆ φ
Instances For
Monotonicity in φ (@cite{condoravdi-lauer-2016} p. 31) #
The three readings differ in their entailment direction in the propositional argument:
wantPSuccessis downward-entailing in φ (Zimmermann's note, cited p. 31): ifφ ⊆ ψandwantPSuccessholds for the weaker ψ, it holds for the stronger φ.wantPQHis upward-entailing in φ (explicit on p. 31): ifφ ⊆ ψandwantPQHholds for the stronger φ, it holds for the weaker ψ.wantPExactis neither upward- nor downward-entailing — see C&L's discussion of (62)/(63)/(64) on pp. 27–28. Counterexample-construction deferred.
Exact-match want against the effective preferential background.
Equations
- Semantics.Attitudes.CondoravdiLauer.wantEP EP a φ w = Semantics.Attitudes.CondoravdiLauer.wantPExact (fun (a : Agent) (w : W) => (EP a w).toPreferenceStructure) a φ w
Instances For
Joint belief-consistency of EP-want (@cite{condoravdi-lauer-2016}
p. 30, end of § 5.4): "when want targets a preference structure
P(a,w) that must be consistent — in particular, when it targets
effective preferences — then wantP(a, φ) and wantP(a, ψ) are
incompatible if φ and ψ are believed to be incompatible by agent
a at w."
Stated contrapositively: if both wantEP EP a φ w and
wantEP EP a ψ w hold, then φ ∩ ψ is not belief-empty — the
agent does not believe that φ and ψ cannot jointly hold.
Proof: delegates to the abstract
PreferenceStructure.maxElts_pair_belief_compatible lemma. The
abstract version captures the same content at the order-theoretic
level: any two maximal elements of a consistent preference structure
are jointly belief-compatible.
The set-valued ordering source at addressee Ad derived from an
effective preferential background: at each world, the maximal
preferences in EP(Ad, w). @cite{condoravdi-lauer-2016}
(88): g_epA(w) = max[EP(Ad, w)].
Equations
- Semantics.Attitudes.CondoravdiLauer.maxOrderingSource EP Ad w = (EP Ad w).maxElts