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  <front>
    <journal-meta />
    <article-meta>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>School of Computing University of Leeds</institution>
          ,
          <addr-line>Leeds, LS2 9JT</addr-line>
          ,
          <country country="UK">UK</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The aim of this paper is to present a formal semantics inspired by the notion of Mental Imagery, largely researched in Cognitive Science and Experimental Psychology, that grasps the full significance of the concept of context. The outcomes presented here are considered important for both the Knowledge Representation and Philosophy of Language communities for two reasons. Firstly, the semantics that will be introduced allows to overcome some unjustified constraints imposed by previous quantificational languages of context, like flatness or the use of constant domains among others, and increases notably their expressive power. Secondly, it attempts to throw some light on the debate about the relation between meaning and truth by formally separating the conditions for a sentence to be meaningful from those that turn it true within a context.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Introduction</title>
      <p>
        In human communication every sentence is uttered in a context and interpreted
in a context. These contexts are regarded as the set of facts that hold true
at the time of utterance and interpretation respectively. If a sentence refers
unambiguously to a fact that is universally accepted, it will be considered true
regardless of the differences between the context of the agent who uttered it
and the agent who interprets it. This is the case of mathematics, which is based
on an unambiguous formal language that expresses facts derived from a set of
universally accepted axioms, such as the Zermelo-Fraenkel set theory. Quine [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]
referred to these sentences as “eternal” and looked for a language whose sentences
were all of this kind. However, in contrast with the language of mathematics,
human language, and consequently that of any form of artificial intelligence,
is highly dependent on context. And as a consequence of this, Quine’s project
turned to be a difficult enterprise, that could result even impossible, if the notion
of context is not included in the characterization of the truth function.
      </p>
      <p>
        Although the interest in a formal theory of context within the AI community
had already been present years before, there was no official research programme
in this direction until in 1993 McCarthy [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ] presented it as a candidate solution
for the problem of generality [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. Since then, many logics [
        <xref ref-type="bibr" rid="ref4 ref5 ref6 ref7">4–7</xref>
        ] have emerged
with the aim of capturing all of the common-sense intuitions about contextual
reasoning that were introduced in [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. However, most of these languages only
deal with the propositional case and are therefore unable to treat contexts as
first-class citizens included in the domain of discourse, what is one of the main
desiderata behind the formalization of contexts. Only the quantificational logic
of context presented in [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ] is capable of formulating statements that predicate
on contexts. Nevertheless, its semantics is too restrictive and imposes
counterintuitive constraints like flatness [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ] or the use of constant domains [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ] among
others. Due to the lack of an adequate solution to the challenges posed in [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ],
Guha and McCarthy [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ] restated the initial motivations by providing a
classification on the different kinds of contexts that a satisfactory logic of context should
be able to represent.
      </p>
      <p>
        In parallel with the research in contextual reasoning developed in AI, the
theory of a mental representation of ideas in the form of mental images 1 has
been largely researched by cognitive scientists, experimental psychologists and
philosophers [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ]. Although there exist a number of controversies on how these
images are formed or if after all they are images or not, the common thesis is
that mind can recreate quasi-perceptual experiences similar to those that are
presumed to be caused by external factors. According to the analog or
quasipictorial theory of imagery [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ], the human ability for the interpretation of
symbols is equivalent to the recreation of quasi-perceptual experiences by mind. The
memory of past perceptual experiences and their possible recombination are the
basis of the imagery that an agent uses when interpreting a sentence.
      </p>
      <p>
        We endorse the quasi-pictorial theory of imagery and argue that by taking
it as an inspiration we can develop a logic of context that meets the challenges
introduced by [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. This inspiration is mainly realized in two features of our
semantics. Firstly, in contrast with the truth-conditional theory of meaning, in
our logic the meaning of a sentence will be regarded as a set of quasi-perceptual
experiences instead of as a set of worlds. Secondly, a sentence will be considered
to be supported by a context if its meaning is part of the image produced by the
interpretation of that context. We claim that this separation between meaning
and truth is necessary to grasp the concept of context in its full extent.
      </p>
      <p>In this paper we present a semantics that formalizes a conceptualization of
a quasi-pictorial theory of Mental Imagery by which it notably increases the
expressiveness of previous logics of context and overcomes some difficulties posed
by them. The paper is structured as follows. First, we introduce informally the
main features of the logic and compare it with previous logics of context and
other formalisms. Second, the language of our logic and its formation rules are
described. Third, we define a model of interpretation inspired by a
conceptualization of a theory of imagery and subsequently explain the associated theory of
1 It must be noted that all along this document we do not use the term “image” with a
static connotation but we refer to both instantaneous and durative quasi-perceptual
recreations. Besides, it is not limited to visual experiences but to all the kinds of
experiences an agent can perceive through its senses.
meaning, together with the characterization of the truth function and the way
we resolve traditional problems like existence and denotation. We end the paper
by extracting the conclusions and envisaging some future work that we plan to
undertake in this line of research.
2</p>
    </sec>
    <sec id="sec-2">
      <title>The Logic</title>
      <p>
        Our logic cannot simply be defined as an extension to predicate calculus, because
there are some fundamental aspects in the semantics that turn it very different
from the classical model theoretic semantics of first order logic. However, we can
compare the expressive power of both logics and say that the logic presented
here increases the expressiveness of predicate calculus with identity by adding
the following capabilities:
1. Like in previous logics of context [
        <xref ref-type="bibr" rid="ref4 ref5 ref6 ref7">4–7</xref>
        ], formulas can be stated in a context.
      </p>
      <p>
        Therefore, there is no contradiction in asserting a formula and its negation
while they are in different contexts. However, in contrast with those logics of
context based on the ist predicate [
        <xref ref-type="bibr" rid="ref4 ref5 ref6">4–6</xref>
        ], we do not force every sentence to be
preceded by a context. Instead, if a sentence is not preceded by a context, it
will be assumed to be a description of actuality. The reason for this is that,
unlike [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ], we do not judge intuitively correct to state that actuality can be
transcended and therefore we consider it to be the outermost context.
Nevertheless, this does not make our logic differ on the transcendence capabilities
described in [
        <xref ref-type="bibr" rid="ref4 ref5 ref6">4–6</xref>
        ], because what it is claimed as unlimited transcendence by
these approaches is actually limited in each context tree by its respective
initial context k0.
2. Formulas in our language can refer to contexts and quantify over them like
in [
        <xref ref-type="bibr" rid="ref4 ref6">4, 6</xref>
        ]. In our logic it is not allowed, however, to predicate on any context,
but only on those that are accessible from the context under which the
formula in question is being asserted. References to non-accessible contexts
will therefore fail to denote.
3. A given contextualized formula can be quoted or not depending on the
context in terms of which that formula is being expressed. In order to express a
formula in terms of the context in which is being contextualized it will need
to be quoted. Otherwise, it will be assumed that the meaning of the terms
used on that formula correspond to the outer context. The use of quotation
marks in a formula will therefore allow for the abstraction from the meaning
of its terms and the disambiguation of the indexicals it may contain.
4. Like suggested in [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ], we differentiate between internal and external
negations. While the external negation of a formula can be satisfied even if its
terms fail to denote or the formula is meaningless, the internal negation of
a formula requires that it is meaningful and its terms succeed to denote in
the context in which it is being asserted.
5. Formulas can express a parthood relation between the references of two
terms. This relation will result particularly useful when formalizing normalcy
assumptions between contexts [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ]. If a context is said to be part of other
context and the latter supports a set of normalcy conditions expressed in
the form of universal quantifications, all these conditions will consequently
become normalcy assumptions in the former context.
      </p>
      <p>
        In addition to the mentioned expressive capabilities, the semantics we present
overcomes some counter-intuitive restrictions imposed by [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ] and adds some novel
ways of dealing with meaningless sentences, existence and designation. Below are
roughly introduced the fundamental aspects that characterize this semantics:
1. An image is a mereologically structured object.
2. The meaning of the non-logical symbols of our logic ranges over a set that
contains the imagery an agent possesses. This set is partially ordered
according to two mereological parthood relations that will be introduced in
the next section. In terms of possible worlds semantics, the imagery set is
equivalent to a kind of possibilia. The meaning function assigns to each
constant symbol a subset of the imagery containing all the possible counterparts
[
        <xref ref-type="bibr" rid="ref13">13</xref>
        ] that it can denote.
3. Like [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ] we differentiate between individuals of the discourse sort and the
context sort. Like the rest of individuals contexts are interpreted as images
mereologically structured. The domain of discourse of a context consists of
its set of grounded parts. Therefore, each context defines in a natural and
flexible way its own domain of discourse over which the denotation of terms
of the discourse sort ranges. This domain is equivalent to actuality. In a given
context the denotation of terms of the context sort ranges over the set of
contexts that are accessible from it, which is equivalent to its set of figured
parts.
4. In contrast with Intensional Logic [
        <xref ref-type="bibr" rid="ref14 ref15 ref16">14–16</xref>
        ], the denotation of constant
symbols is not a function from contexts or states to members of the domain of
discourse. Instead, the object denoted by a constant is the unique member
of the intersection of the meaning of that constant and the grounded part
expansion of the context in question, if it is of the discourse sort, or the set of
contexts that are accessible from it, if it is of the context sort. This will help
to determine whether a symbol succeeds to denote under a certain context.
5. Unlike in [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], there is no flatness restriction among contexts. In other words,
the set of axioms holding at a particular context depends on the context
from which it is accessed.
      </p>
      <p>
        We will make use of classical Extensional Mereology [
        <xref ref-type="bibr" rid="ref17">17</xref>
        ] for the elaboration
of the semantics. The binary relation “is part of ” will be represented by the
symbol in our model. Therefore, if an object x is said to be part of an object
y, we will write x y. In addition to the classical operators of mereology we will
make use of the part-expansion of an object. This operation is defined below.
Definition 1. Given an object Γ , its part-expansion ↓ Γ is the set containing
every part of Γ .
      </p>
      <p>↓ Γ = {x : x</p>
    </sec>
    <sec id="sec-3">
      <title>Formal System</title>
      <sec id="sec-3-1">
        <title>Syntax</title>
        <p>A language L of our logic is any language of classical two-sorted predicate
calculus with identity and a infinite set of non-logical symbols, together with a
parthood relation and a set of symbols to express the contextualization, the
quotation, and the internal negation of a formula. For simplicity we will make
no use of functions. Below is the list of logical symbols of our language and the
notational convention we will use for the non-logical ones:
1. n-ary predicate symbols: P n , P1n , P2n , . . .
2. Constants of the discourse sort: a , a1 , a2 , . . .
3. Constants of the context sort: k , k1 , k2 , . . .
4. Variables of both sorts: x , x1 , x2 , . . .
5. External and internal negation: ¬ , ¯
6. Connectives: ∨ , ∧ , ⊃
7. Quantifiers: ∀ , ∃
8. Identity: =
9. Parthood: ≤g , ≤f
10. Quotation marks: “ , ”
11. Auxiliary symbols: : , [ , ]</p>
        <p>Given a language L, we will use C to refer to the set of constants of the
discourse sort, and K to refer to the set of constants of the context sort. The
set of variables of both sorts will be given by V, while P will denote the set of
predicates.</p>
        <p>Definition 2. The set of terms T and well-formed formulas (wffs) W are
inductively defined on their construction by using the following formation rules:
1. Each variable or constant of any sort is a term.
2. If t1, . . . , tn are terms and P n is an n-ary predicate, then P n (t1, . . . , tn) and</p>
        <p>P n (t1, . . . , tn) are wffs.
3. If t1 and t2 are terms, then t1 = t2, t1 ≤g t2 and t1 ≤f t2 are wffs.
4. If A is a wff, then [¬A] is a wff.
5. If A and B are wffs, then [A ∨ B] , [A ∧ B] and [A ⊃ B] are wffs.
6. If A is a wff and x is a variable of any sort, then (∀x) [A] and (∃x) [A] are
wffs.
7. If A is a wff and k is a constant of the context sort, then [k : A] and [k : “A”]
are wffs.</p>
        <p>
          It must be noted that the treatment of the parthood relation as a logical
symbol of our logic entails that its axiomatization as a transitive, reflexive and
antisymmetric relation will be included in the set of axioms of the logic itself.
We will refer to the axioms of Extensional Mereology [
          <xref ref-type="bibr" rid="ref17">17</xref>
          ] for this.
3.2
        </p>
      </sec>
      <sec id="sec-3-2">
        <title>A Model of Interpretation</title>
        <p>In our attempt to elaborate a formal semantics inspired by a quasi-pictorial
theory of mental imagery, we consider that an image is a mereologically structured
object and therefore it is a whole composed of parts. An image will be said to
model the set of facts that its parts support and consequently the truth value
assigned to a sentence will be relativized to the context under which is being
considered. However, we will differentiate between two kinds of parts of which
images may consist, namely grounded and figured parts. It is easy to understand
the intuition behind this differentiation if we consider an example in which an
agent is situated in an augmented-reality scenario. In this situation the agent will
perceive some objects as genuine parts of reality and others as artificial objects
recreated by some kind of device. We will say that the former objects are part
of the actuality constructed by this agent in a grounded sense while the latter
objects are part of the actuality constructed by this agent in a figured sense. Our
intuition is that contexts, like those artificially recreated objects of the example,
exist and are part of reality in a figured sense.</p>
        <p>In order to capture these two different senses of parthood, the model structure
will include a grounded parthood relation and a figured parthood relation. While
the former will determine the domain of those objects of the discourse sort, the
latter will determine the domain of those objects of the context sort and their
accessibility. A formal definition of the model structure is given below.
Definition 3. In this system a model, M, is a structure M = I, g, f , Ω, M
whose components are defined as follows:
1. I is a non-empty set. It consists of all the imagery an agent can recreate at
the moment she is performing the interpretation.
2. g is a partial ordering on I. It is therefore a transitive, reflexive, and
antisymmetric relation on I. It denotes the mereological parthood relation
on the members of I in a grounded sense.
3. f is a partial ordering on I. It is therefore a transitive, reflexive, and
antisymmetric relation on I. It denotes the mereological parthood relation
on the members of I in a figured sense.
4. Ω is a distinguished member of I. It represents the image of actuality
constructed by the agent performing the interpretation.
5. M is a function from the non-logical symbols of L to a mapping from
members of I to subsets of I. M denotes the meaning function that assigns each
constant of L a mapping from contexts to its set of possible denotations and
each predicate of L a mapping from contexts to its extension over I. In
the definition of M given below we use the standard mathematical notation
P (X) to refer to the powerset of X.</p>
        <p>

M : 

</p>
        <p>
          C → [I → P (I)]
K → [I → P (I)]
P → [I → P (In)]
(2)
As introduced in the previous section, the meaning of a non-logical symbol does
not depend on the context under which the truth of the statement in which it
occurs is being considered. We consider that the meaning of a term is a subset of
I that contains all the images that term can possibly denote. This is the set of
possible counterparts [
          <xref ref-type="bibr" rid="ref13">13</xref>
          ] that term stands for. In the same way, the meaning of
a predicate symbol is defined as a subset of In. The meaning of those non-logical
symbols that are not included in the vocabulary of an agent will be equivalent
to the empty set. We will refer to these symbols as meaningless.
        </p>
        <p>
          On the other hand, the meaning assigned to a constant or a predicate will
vary depending on whether the sentence is being asserted using the terms of
one context or the terms of other. This is the reason why the introduction of
quotation marks is important. A context will have to quote the report of a
sentence in order to dissociate itself from the meaning given to the non-logical
symbols in that sentence. This resolves the problems with statements containing
ambiguous references [
          <xref ref-type="bibr" rid="ref9">9</xref>
          ].
        </p>
        <p>Assignment. We proceed to define the assignment function in our logic.
Definition 4. If x is a variable of any sort, an assignment into M is a function
ϕ such that ϕ (x) is a subset of I.</p>
        <p>ϕ : V → [I → P (I)]
(3)
It will be useful to introduce the concept of x-variant assignment for the
characterization of the truth function that will be presented in the next section.
Definition 5. An assignment ψ is an x-variant of an assignment ϕ if ϕ and ψ
agree on all variables except possibly x.</p>
        <p>Valuation. As usual we will define the valuation of the non-logical symbols of
our logic in terms of the assignment and meaning functions. However, as we have
mentioned before, the valuation of the terms of the logic will not yet result in
the denotation of these, because the latter is relativized to the context under
which the truth of a particular formula is being considered. We will define this
notion more formally in the next section.</p>
        <p>Definition 6. Given a model M = I, g, f , Ω, M , an assignment ϕ and
a context Δ member of I, a valuation VϕM,Δ of the non-logical symbols of our
language into M under ϕ and in terms of Δ is defined as follows:
1. VϕM,Δ (t) = ϕ (t) (Δ) if t is a variable.
2. VϕM,Δ (t) = M (t) (Δ) if t is a constant of any sort.
3. VϕM,Δ (P n) = M (P n) (Δ) if P n is an n-ary predicate.</p>
        <p>Meaningful Formula. We do not need to check the truth of a formula with
regard to a context in order to know whether it is meaningful or not. This will
only depend on the valuation of the terms and predicates it contains. Informally,
we will say that a sentence is meaningful with regard to a model constructed
by an agent if this agent can recreate some image for each of the terms in the
sentence and at least one of these images is included in the set to which she
would attribute the predicate in question. For example, let us take the sentence
“the smell of your jacket is red”. If “the smell of your jacket” and “red” are
interpreted as they are usually in English, an English speaking agent will not
be able to recreate an image of the smell of someone’s jacket that is included in
the set of images to which she would attribute the red colour. Therefore we will
say that this sentence is meaningless for that agent. Below is presented a more
formal definition of meaningful formula:
Definition 7. An atomic wff expressing the P n-ness of a sequence of terms
t1, . . . , tn in terms of a context Δ is said to be meaningful in a model M if and
only if there exists some assignment ϕ such that the cardinality of the intersection
of the cartesian product of the valuations of t1, . . . , tn under ϕ in terms of k and
the valuation of P n under ϕ in terms of Δ is equal or greater than one.</p>
        <p>P n (t1, . . . , tn) is a meaningful formula iff</p>
        <p>M M M
Vϕ,Δ (t1) × · · · × Vϕ,Δ (tn) ∩ Vϕ,Δ (P n) ≥ 1
(4)</p>
        <p>Note that the condition that the valuation of each of the non-logical symbols
included in the sentence must be different from the empty set is implicit in this
definition. Therefore, if a sentence is to be meaningful in a model, all of its
non-logical symbols must be meaningful in that model as well.</p>
        <p>This definition can be extended to sentences expressing the parthood or
identity relation between two terms. The set of meaningful formulas will be trivially
defined by induction on their construction.
3.4</p>
      </sec>
      <sec id="sec-3-3">
        <title>Truth</title>
        <p>The meaning of the non-logical symbols of a formula cannot determine by itself
its truth value. In our logic the truth value of a formula is relativized to the
context in which it is asserted. As we have said in the definition of a model in
our logic, the image of a context supports the set of facts that are supported by
its parts. Therefore, the first requisite for a formula to be supported by a context
is that at least one counterpart of each of the terms of that sentence is part of the
image of that context. On the other hand, one and only one counterpart can be
part of the image of the same context or otherwise the term will be an ambiguous
designator in that context. In this section, we define in what conditions a term
succeeds to denote when it is used in a particular context and how the truth
function is characterized according to this definition of denotation.
 VϕM,Δ (t) ∩ ↓g Γ = 1 if t is of the discourse sort
 VϕM,Δ (t) ∩ ↓f Γ = 1 if t is of the context sort
Definition 9. A term t fails to denote into a model M under an assignment ϕ
in terms of a context Δ when considered under a context Γ if and only if the
cardinality of the intersection of the valuation of t under ϕ in terms of Δ with
the grounded part-expansion of Γ , if t is of the discourse sort, or the figured
part-expansion of Γ , if t is of the context sort, is zero.</p>
        <p>Denotation. Below we define formally the conditions under which a term
succeeds to denote when considered under a certain context.</p>
        <p>Definition 8. A term t succeeds to denote into a model M under an assignment
ϕ in terms of a context Δ when considered under a context Γ if and only if the
cardinality of the intersection of the valuation of t under ϕ in terms of Δ with
the grounded part-expansion of Γ , if t is of the discourse sort, or the figured
part-expansion of Γ , if t is of the context sort, is a singleton.
(5)
(6)
(7)
 VϕM,Δ (t) ∩ ↓g Γ = 0 if t is of the discourse sort
 VϕM,Δ (t) ∩ ↓f Γ = 0 if t is of the context sort
Definition 10. A term t is an ambiguous designator into a model M under an
assignment ϕ in terms of a context Δ when considered under a context Γ if and
only if the cardinality of the intersection of the valuation of t under ϕ in terms
of Δ with the grounded part-expansion of Γ , if t is of the discourse sort, or the
figured part-expansion of Γ , if t is of the context sort, is greater that one.
 VϕM,Δ (t) ∩ ↓g Γ &gt; 1 if t is of the discourse sort
 VϕM,Δ (t) ∩ ↓f Γ &gt; 1 if t is of the context sort</p>
        <p>If a term succeeds to denote then we will say that it denotes that image that,
at the same time, is in its meaning and is part of the image of the context in
consideration. This is formally defined below.</p>
        <p>Definition 11. If a term t succeeds to denote into a model M under an
assignment ϕ in terms of a context Δ when considered under a context Γ , its</p>
        <p>M,Γ
denotation Vϕ,k (t) into M under ϕ in terms of Δ when considered under Γ is
that unique element that is member of the intersection of the valuation of t under
ϕ in terms of Δ with the grounded part-expansion of Γ , if t is of the discourse
sort, or the figured part-expansion of Γ , if t is of the context sort.</p>
        <p>x ∈ VϕM,Δ (t) ∩ ↓g Γ
VϕM, Δ,Γ (t) =def (ιx) 
x ∈ VϕM,Δ (t) ∩ ↓f Γ
if t is of the discourse sort,
if t is of the context sort.</p>
        <p>(8)
Truth Function. Once the conditions under which a term succeeds to denote
and the value that takes its denotation have been defined, we can proceed to
characterize the truth function on a model M by induction on the construction
of the wffs of our logic.</p>
        <p>Definition 12. Truth ( ), with respect to an assignment ϕ into a model M =
I, g, f , Ω, M , is characterized as follows:
1. A context Γ included in the imagery I of a model M supports the assertion
[internal negation] of the P n-ness of a sequence of terms t1, . . . , tn under an
assignment ϕ in terms of a context Δ included in I if and only if every term
t1, . . . , tn succeeds to denote under ϕ in terms of Δ when considered under
Γ and the tuple formed by the denotations of t1, . . . , tn under ϕ in terms of
Δ when considered under Γ belongs to [the complement of ] the valuation of
P n under ϕ in terms of Δ.</p>
        <p>M,Γ</p>
        <p>ϕ,Δ P n (t1, . . . , tn) iff
t1, . . . , tn succeed to denote under ϕ in terms of Δ in Γ
and VϕM, Δ,Γ (t1) , . . . , VϕM, Δ,Γ (tn) ∈ Vϕ,Δ (P n)</p>
        <p>M
M,Γ</p>
        <p>ϕ,Δ P n (t1, . . . , tn) iff
t1, . . . , tn succeed to denote under ϕ in terms of Δ in Γ
and VϕM, Δ,Γ (t1) , . . . , VϕM, Δ,Γ (tn) ∈ Vϕ,Δ (P n) C</p>
        <p>M
(9)
(10)
2. A context Γ included in the imagery I of a model M supports the assertion
of the identity relation between two terms t1 and t2 under an assignment ϕ
in terms of a context Δ included in I if and only if t1 and t2 succeed to
denote under ϕ in terms of Δ when considered under Γ and the denotations
of t1 and t2 under ϕ in terms of Δ when considered under Γ are equal.</p>
        <p>M,Γ</p>
        <p>ϕ,Δ t1 = t2 iff
t1 and t2 are proper descriptions under ϕ in terms of Δ in Γ
(11)
and VϕM, Δ,Γ (t1) = VϕM, Δ,Γ (t2)
3. A context Γ included in the imagery I of a model M supports the assertion
of the grounded[figured] parthood relation of a term t1 into a term t2 under
an assignment ϕ in terms of a context Δ included in I if and only if t1 and
t2 succeed to denote under ϕ in terms of Δ when considered under Γ and
the denotation of t1 under ϕ in terms of Δ when considered under Γ is a
grounded[figured] part of the denotation of t2 under ϕ in terms of Δ when
considered under Γ .
x succeeds to denote under ψ in terms of Δ in Γ
and M, Γ ψ,Δ A
M,Γ</p>
        <p>ϕ,Δ (∀x) [A] iff
6. A context Γ included in the imagery I of a model M supports the universal
quantification of a variable x in a formula A under an assignment ϕ in
terms of a context Δ included in I if and only if Γ supports A for every
xvariant assignment ψ under which x succeeds to denote in terms of Δ when
considered under Γ .</p>
        <p>for every x-variant assignment ψ, if x succeeds to denote
under ψ in terms of Δ in Γ then M, Γ ψ,Δ A
7. A context Γ included in the imagery I of a model M supports the existential
quantification of a variable x in a formula A under an assignment ϕ in
terms of a context Δ included in I if and only if Γ supports A under some
x-variant assignment ψ under which x succeeds to denote in terms of Δ when
considered under Γ .
4. A context Γ included in the imagery I of a model M supports the external
negation of a formula A under an assignment ϕ in terms of a context Δ
included in I if and only if it does not support A under ϕ in terms of Δ.
8. A model M supports a formula A under an assignment ϕ if and only if the
image of actuality Ω in M supports A under an assignment ϕ in terms of
Ω.
10. A context Γ included in the imagery I of a model M supports the quotation
a formula A contextualized in a context Δ under an assignment ϕ in terms
of a context Δ included in I if and only if Δ succeeds to denote under ϕ in
terms of Δ when considered under Γ and its denotation under ϕ in terms of
Δ when considered under Γ supports A under ϕ in terms of its denotation
under ϕ in terms of Δ when considered under Γ .
Definition 13. A formula A is said to be valid if and only if it is supported
by every image Γ of every model M under every assignment ϕ and in terms of
every context Δ.
9. A context Γ included in the imagery I of a model M supports a formula A
contextualized in a context k under an assignment ϕ in terms of a context
Δ included in I if and only if k succeeds to denote under ϕ in terms of Δ
when considered under Γ and its denotation under ϕ in terms of Δ when
considered under Γ supports A under ϕ in terms of Δ.</p>
        <p>ϕ,Δ P n (t1, . . . , tn) ∨ P n (t1, . . . , tn) iff
t1, . . . , tn are proper descriptions under ϕ in terms of Δ in Γ
and P n (t1, . . . , tn) is a meaningful sentence.</p>
        <p>
          As can be appreciated from the definition of the truth function, the principle
of bivalence holds with regard to both external and internal negations. However,
the bivalence with respect to the internal negation of a formula under a certain
context holds if and only if all its terms succeed to denote when considered
under that context and the sentence is meaningful, while the bivalence with
regard to the external negation of a formula holds regardless of these conditions.
Therefore the validity of the principle of bivalence can only be determined locally
in the case of internal negations. This differentiation resolves how to deal with
foreign languages [
          <xref ref-type="bibr" rid="ref7">7</xref>
          ] in the quantificational case. Concretely, this means that if a
sentence is expressed in a language different from the one an agent knows, then
the actuality constructed by this agent will not support that sentence neither its
internal negation. Below are formally expressed the principles of bivalence with
regard to both kinds of negation.
(21)
(22)
(23)
(24)
(25)
        </p>
        <p>
          On the other hand, in line with Modal Realism [
          <xref ref-type="bibr" rid="ref13">13</xref>
          ], we treat the universal
quantifier as implicitly ranging over actuality. Therefore, as can be seen in the
equation (16), only those assignments under which x succeeds to denote in the
context in consideration are required to validate the quantified formula.
        </p>
        <p>The equations (18) and (19) show how this semantics facilitates entering
into an inner context from a relative actuality and reversely transcending back
from it. As can be seen in the equation (19), when entering a context the use
of quotation marks entails the change of the context in terms of which the
nonlogical terms are valuated by the one in which we are entering.
4</p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>Conclusions</title>
      <p>
        In this paper we have presented a formal semantics for a logic of context that is
inspired by a quasi-pictorial theory of Mental Imagery [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ], which is a very active
research area in the disciplines of Cognitive Science and Experimental
Psychology. The semantics we have elaborated not only addresses how to interpret the
reasoning between contexts but also increases the expressivity of previous logics
of context by adding some new constructors to the set of logical symbols. Among
these are the quotation marks that, like in natural language, enable an agent to
use the terms in which another agent expresses herself and the parthood
relation, which results very useful when formalizing normalcy assumptions between
contexts. On the other hand, we have shown a characterization of the truth
function that allows the differentiation between external and internal negations
[
        <xref ref-type="bibr" rid="ref12">12</xref>
        ], what is necessary in order to adjust the principle of bivalence to the case
of meaningless sentences or foreign languages [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ].
      </p>
      <p>
        Besides, this semantics has proved to overcome some unjustified restrictions
that were imposed by previous quantificational logics of context [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], like flatness
or the use of constant domains among others. This makes our logic more
intuitively appropriate for accommodating the concept of context that Guha and
McCarthy restated in [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ].
      </p>
      <p>From the point of view of the Philosophy of Language, we have elaborated
a theory of meaning that provides a novel solution to the classical problems
of meaningless sentences, designation and existence. The separation between
meaning and truth that we have formalized allows to identify these cases and
to deal with them adequately when it comes to evaluate the truth value of the
sentences of our language.</p>
      <p>At the moment of writing this paper, we are looking into a complete and
sound axiomatization that allows to give a definition of derivability adequate for
our logic. We also plan to research into how to accommodate temporal concepts,
like events or actions, in this formalism.</p>
    </sec>
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