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Proceedings of the 13 ESSLLI Student Session - Multiple Choices ...

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Though every element <strong>of</strong> an information state is a salient possibility (except <strong>the</strong> empty<br />

set, which is present to simplify <strong>the</strong> definition <strong>of</strong> an answer to a question), <strong>the</strong> sets in an<br />

information state do not exhaust its salient possibilities. Ra<strong>the</strong>r, <strong>the</strong> salient possibilities<br />

in an information state are generated by closing it under union and intersection. Salient<br />

possibilities are defined this way because, intuitively, if P1 and P2 are salient possibilities<br />

in a context, <strong>the</strong>n if <strong>the</strong>y are not mutually exclusive it is also possible that <strong>the</strong>y both obtain.<br />

Thus, <strong>the</strong>ir intersection should count as a salient possibility as well. Similar reasoning<br />

supports considering <strong>the</strong> union <strong>of</strong> salient possibilities to be a salient possibility.<br />

DEFINITION 3. Let Γ be an information state. Then 〈Γ〉, <strong>the</strong> set <strong>of</strong> salient possibilities in<br />

Γ, is defined as <strong>the</strong> <strong>the</strong> smallest set such that:<br />

(i) If P ∈ Γ, <strong>the</strong>n P ∈ 〈Γ〉 (ii) If P1, P2 ∈ 〈Γ〉, <strong>the</strong>n P1 ∪ P2 ∈ 〈Γ〉<br />

(iii) If P1, P2 ∈ 〈Γ〉, <strong>the</strong>n P1 ∩ P2 ∈ 〈Γ〉.<br />

We need one more concept in order to define <strong>the</strong> semantics <strong>of</strong> wh-questions. On our<br />

analysis, wh-questions introduce salient possibilities corresponding to each <strong>of</strong> <strong>the</strong>ir possible<br />

answers into an information state. To represent <strong>the</strong> possible answers to a wh-question,<br />

we use <strong>the</strong> relations defined in definition 5 (Definition 4 is a standard account <strong>of</strong> satisfaction,<br />

which is necessary for articulating definition 5):<br />

DEFINITION 4. Let φ ψ ∈ L1, let i be an index, and let g be a variable assignment function.<br />

(i) If φ = Qt1...tn, <strong>the</strong>n i |= φ [g] iff 〈[t1] i,g ,...,[tn] i,g 〉 ∈ i(Q)<br />

(ii) i |= φ ∧ ψ [g] iff i |= φ [g] and i |= ψ [g] (iii) i |= ¬φ [g] iff i �|= φ [g]<br />

DEFINITION 5. Let φ ∈ L1, and let i and j be indices. We say that i ≡ j (mod φ) if for all<br />

assignments g, i |= φ [g] iff i |= ψ [g]<br />

Given a formula φ, definition 6 defines <strong>the</strong> conditions under which two indices give<br />

<strong>the</strong> same answer to <strong>the</strong> question ?φ. For a sentence φ <strong>of</strong> L1, i ≡ j (mod φ) will hold as<br />

long as i and j assign φ <strong>the</strong> same truth value. But for a formula <strong>of</strong> L1 with free variables,<br />

congruence modulo φ requires that <strong>the</strong> indices assign <strong>the</strong> same denotations (or just similar<br />

denotations if <strong>the</strong> formula contains both free variables and constants) to predicates that<br />

occur in φ. The following examples illustrates how this definition works.<br />

EXAMPLE 1.<br />

<strong>Proceedings</strong> <strong>of</strong> <strong>the</strong> <strong>13</strong> th <strong>ESSLLI</strong> <strong>Student</strong> <strong>Session</strong><br />

(i) Let ?φ = ?Px (Who came to <strong>the</strong> party?) i ≡ j (mod φ) if i(P) = j(P), or informally, if <strong>the</strong><br />

same people came to <strong>the</strong> party according to indices i and j.<br />

(ii) Let ?φ = ?Ibx (Who did Bill invite to <strong>the</strong> party?) i ≡ j (mod φ) if<br />

{d ∈ D| 〈d, i(b)〉 ∈ i(P)} = {d ∈ D| 〈d, j(b)〉 ∈ j(P)}.<br />

(iii) Let ?φ = ?p (Did Alice help Bill?) i ≡ j (mod φ) if i |= p iff j |= p.<br />

In our update semantics, <strong>the</strong> effect <strong>of</strong> a formula on an information state will be defined<br />

in terms <strong>of</strong> <strong>the</strong> effects it has on certain elements <strong>of</strong> <strong>the</strong> information state. Thus, to state<br />

our update semantics for information states we require an update semantics for sets <strong>of</strong><br />

indices as well. The update semantics for sets indices is fairly simple, and is roughly <strong>the</strong><br />

same as that given in Veltman (1996).<br />

DEFINITION 6. Let φ ∈ L1 ∪ L2 be a sentence, and let P be a set <strong>of</strong> indices. We define <strong>the</strong><br />

update <strong>of</strong> P with φ, written P[φ], as follows:<br />

(i) P[p] = {i ∈ P | i |= p} (ii) P[φ ∧ ψ] = P[φ][ψ]<br />

(iii) P[¬φ] = {i ∈ P | i �∈ P[φ]} (iv) P[⋄φ] = P if P[φ] �= ∅<br />

(v) P[⋄φ] = ∅ if P[φ] = ∅<br />

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