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SINGLE-TYPE ONTOLOGY 73<br />

(b) The type α is related† to some derived type , o> or ( # o), where β 1, . . . , β n are single-type types.<br />

Given the existence of a unique single-type representation for every basic Montagovian object<br />

(clause (a)), the rule ST ensures the existence of a unique single-type representation for every<br />

Montagovian object of a complex type. As a result, it suffices for a demonstration of the<br />

satisfaction of the Representability requirement to show that (2a) obtains.<br />

We will give concrete examples of the success and failure of the representability of single-type<br />

objects in Sections 3.2 and 3.3, respectively. The next subsection presents the requirement of<br />

their intensionality (Property 3).<br />

2.3. Intensionality<br />

The intensionality requirement on single basic types is a response to the granularity problem<br />

for linguistic meanings from (Frege 1892). The latter concerns the fact that interpretations of<br />

natural language expressions do not individuate semantic objects as finely as speakers’<br />

intuitions about strict synonymy, to the effect that there are too few intensions to enable<br />

correct predictions about linguistic entailment (Muskens 1995).<br />

Most logics for natural language adopt a version of the axiom scheme of Extensionality from<br />

(Ext), where the variables X and Y range over objects of some type and<br />

where the variables x 1, . . . , x n have the Montague types α 1, . . . , α n:<br />

Extensionality (Ext)<br />

∀X ∀Y. ∀ x 1 . . . x n (X (x 1) . . . (x n) ↔ Y (x 1) . . . (x n)) → X = Y)<br />

As a result, models of such logics identify all objects of some type (or<br />

) that are logically equivalent. For the case of (type-) propositions,<br />

these models identify all propositions which have the same truth-values across all indices.<br />

Thus, the proposition ‘John seeks a unicorn’ will be treated as identical to the propositions<br />

‘John seeks a unicorn and 1 3 + 12 3 = 9 3 + 10 3 ’ and ‘John seeks a unicorn and Bill walks or does<br />

not walk’. 2<br />

In an extensional setting (where we are concerned with a description of the actual physical<br />

world, and assume the availability of all relevant facts about this world), the identification of<br />

the above propositions is unproblematic. Thus, the inference from (1a) to (1b) or (1c) is intuittively<br />

valid, where @ denotes planet Earth on Wednesday 12th December, 2012 at 10:52am.<br />

(1) a. At @, John seeks a unicorn.<br />

b. At @, John seeks a unicorn and 1 3 + 12 3 = 9 3 + 10 3 .<br />

c. At @, John seeks a unicorn and Bill walks or does not walk.<br />

However, in epistemic contexts, the extension of our commitment from a single proposition<br />

to the set of its semantic equivalents is much less-warranted. This is due to the fact that a<br />

cognitive agent may possess only partial information about the physical world, such that<br />

(s)he may assume the truth of one, but not of another proposition. The substitution salva non<br />

veritate of the proposition ‘John seeks a unicorn’ in the complement of the verb believes in<br />

(2a) by any of the propositions from (1b) or (1c) (in (2b), resp. (2c)) illustrates the special<br />

status of such contexts:<br />

(2) a. Mary believes that John seeks a unicorn.<br />

b. Mary believes that John seeks a unicorn and 1 3 + 12 3 = 9 3 + 10 3 .<br />

2<br />

We will justify the equivalence of these three propositions in Section 2.4.

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