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Proposition 4. INV :( p
Kp )
¬
p
K
¬
p ) is valid.
(
To completely axiomatize the logic, it is also important to have axioms controlling the
interactions between K and [ a ]. Here we observe that the axiom of perfect recall ( PR )
is valid: K [ a ] ˆ
[ a ] while the converse ( nolearning ) is invalid. 3
Proposition 5. PR : K [ a ] ˆ
[ a ] is valid.
We l e ave i t f o r future work whether PR , INV , DIST ∧, DIST
, DIST , T , 5 , 4 on top of
a propositional calculusareenough to completely axiomatize EAL over simple hyper
frames.
3.2
Models with Arbitrary Procedural Information
In this subsection, we consider arbitrary procedural information. Intuitively, the correct
information
ˆ, ˀ
ˆ, ˀ
(
) can be incorporated by adding to the model
M
a
transition labelled by ˀ ( ˀ ) from
and this
leads to the definition of unrestricted hyper models (recall that ʠ Σ is the set of regular
expressions based on ʣ ):
{M
,s
|
s
ˆ
}
to
{M
,t
|
t
ˈ
}
Definition 5 (Hyper Model). Anhyper model is a tuple ( S,
,
,
,V ) where:
- ( S,
,V ) is a Kripke model
2 S
2 S is a labelled binary relation fromaset of states to a set of
-
×
ʠ Σ ×
states.
2 S
2 S is a labelled binary relation fromaset of states to a set of
-
×
ʠ Σ ×
states.
- for all T,T
ˀ
T implies thatforall t
S : T
T there exists w
ˀ and
T such that t w
t
t .
ˀ
T implies thatforall t
ˀ : t w
- for all T,T
t implies
S : T
T all w
t
T .
Again, the last two conditions guarantee that the information incorporated in the models
are correct. The class of simple hyper models can be viewed as a subclass of hyper
models, where the transitions are all in the shapes of
a
T and
a
T .
{
s
}
{
s
}
Now we can consider the full EPDL language.
Definition 6 (Epistemic PDL). Givenacountable set of propositional variables P , a
finite set of action symbols ʣ ,theformulasofEPDL language are defined by:
ˆ ::=
|
p
ˆ
|
( ˆ
ˆ )
|
|
ˀ
ˆ
ˀ
ˀ ::= a
|
ˀ ; ˀ
|
ˀ + ˀ
|
where a
ʣ and p
P .
3
Versions of these axioms appear in temporal epistemic logic and dynamic epistemic logic (cf.
[4,14]).
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