Moving towards models: Kripke Semantics
To get the formal semantics of intuitionistic logic (and thus lambda calculus), we need a tool called Kripke Semantics. Kripke semantics is an amazing tool, which made it possible to define a lot of things in logics that weren't approachable before. In this post, I'm going to explain the basic ideas of Kripke semantics and how they're used for building models of logics; in my next post, I'll describe the Kripke semantics model for intuitionistic logic.
With modality, you have a new property in your logic: the truth value of statements can change when you transition from one world to another. To be able to talk about this, Kripke models have two modal operators that behave sort of like quantifiers over worlds.
A logical statement or formula
The basic construct of kripke models for logics is called maximum consistent sets. A set of statements S is consistent in a logic X if there is no way to derive a contradiction from any combination of statements in S, axioms of X, and standard inference (if A>B and A then B) over S and axioms of X. A maximum consistent set MCS for X is a consistent set for X where MCS is not a proper subset of any other consistent set in X.
The Kripke model of a logic X is a standard Kripke model
Modality
The basic idea of Kripe semantics is to associate the truth or validity of logical statements with something like a concept of time called a modality. In a modality, you have a set of states called worlds, with a transition relationship between them called accessibility. A world w assigns truth values to logical statements; and the accessibility relation defines what worlds can be reached from w. (For notation, we usually call the accessibility relation R, and write R(a,b) to mean that b is accessible from a.)With modality, you have a new property in your logic: the truth value of statements can change when you transition from one world to another. To be able to talk about this, Kripke models have two modal operators that behave sort of like quantifiers over worlds.
 L (also written as a square) for "necessarily": LP means that P is true in every possible world;
 M (also written as a diamond) for "possible": MP means that P might be true in some world.
Mp = not L not p
.Kripke Models
The semantics of Kripke models comes from the ability to make truth assignments; and truth assignments in turn come from something called a forcing relation. A world "w" in a Kripke semantics model forces statements in the logic if those statements are valid (provable) in that world. The forcing relation "w forces A" is usually written: "w  A
". A valid forcing relation needs to have three properties:
w  not A if/f not(w  A)
: if w forces not A, then it cannot also force A.

w  A > B if/f not(w  A) or (w  B)
. This is very close to one of the inference rules of normal predicate logic: A > B if/f (not A) or B.

w  LA if/f forall u in W (R(w,u) implies u  A)
: we can say that a statement is necessarily true in a world w if and only if that statement is true in every world accessible from w.
(W, R, )
: W is a set of worlds; R is an accessibility relation between elements of W; and 
is a forcing relation from members of W to statements in L. Without the forcing relation, given just the worlds and the accessibility relation, that piece of a model is called a Frame.A logical statement or formula
A
is true in a model (W,R,)
if forall w in W, w  A
.Building Kripke Models for Logics
Suppose we have a modal logic, X. What we want in a model for X is a way of saying what statements mean in a way that shows that they're consistent  that is, that the statements that are provable in the logic are really valid inferences from the axioms of the logic.The basic construct of kripke models for logics is called maximum consistent sets. A set of statements S is consistent in a logic X if there is no way to derive a contradiction from any combination of statements in S, axioms of X, and standard inference (if A>B and A then B) over S and axioms of X. A maximum consistent set MCS for X is a consistent set for X where MCS is not a proper subset of any other consistent set in X.
The Kripke model of a logic X is a standard Kripke model
(W,R,)
, where: W is the set of all MCSs for X.

R(A,B)
if/f for all statements s in X,(L s) in A implies s in B

A  s
if/fs in A
2 Comments:
Hey,
wondering what would be a good book or reference on Kripke Semantics. I've read Burgess's little intro to it. If you knew something online, particularly something that worked out a few examples, I would find it very helpful. Thanks!
By Anonymous, at 1:48 AM
anonymous:
Sorry, for some reason, the notification that there was a comment here got eaten by my spam filter, so I didn't notice it until now.
There are a bunch of books on software model checking, which has become a hot topic in the last couple of years; model checking is built on the Kripke semantic models of temporal logics. So any of the books on the subject will have an explanation of Kripke semantics, with lots of examples.
By MarkCC, at 8:38 PM
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