One of the uses to which propositional modal logic has been put is to model certain propositional attitudes such as knowledge and belief.
To model knowledge, (Hintikka 1962Hintikka, Kaarlo Jaakko Juhani. 1962. “Knowledge and Belief: An Introduction to the Logic of the Two Notions.”) supplements the language of propositional logic with a family of propositional operators
A relational model
We now define what it is for a formula
Definition 12.1 (Truth at a State)
We are now in a position to define truth in a model of epistemic logic.
Definition 12.2 (Truth in a Model) A formula
Knowledge provides the ability to locate the actual world in the space of epistemic live options, and, in particular, to exclude certain states of the world as candidates for actuality. One information state
These decisions are not inconsequential. For it follows that agents know all logical truths and that they know what follows from what they know. That is the framework vindicates a rule of necessitation and all substitution instances of axiom K:
One way to cope with this observation is to let
The next step is to consider the epistemic interpretation of different modal axioms and to ask whether or not they are candidates for the logic of knowledge.
What is known is the case.
The principle that knowledge implies truth is virtually universally accepted, and a firm candidate for the logic of knowledge.
From a semantic point of view,
This is the principle commonly known as the
From a semantic point of view,
(Hintikka 1962Hintikka, Kaarlo Jaakko Juhani. 1962. “Knowledge and Belief: An Introduction to the Logic of the Two Notions.”) adopted axioms
This means that we could come to know that something that is the case is open merely by reflection on that fact, which seems implausible. This is clearer when we look at the contrapositive of the principle:
The semantic counterpart of these observations is that we should not automatically rule out failures of symmetry for
To the extent to which
There are cases in which agents take themselves to know something that is not in fact the case. Because knowledge entails truth, it would be false in that case that the agents know. But the agents might not have access to that information: it may be open to them that they know despite the fact that they do not know that it is open to them to know. One way to put it is that
We now illustrate further uses of epistemic logic by means of a well-known example.
The insight behind the possible worlds semantics for epistemic logic is that agents locate themselves in the space of epistemic live options by excluding states of the world as live options in light of new information. The Muddy Children puzzle illustrates the dynamic aspect of this update mechanism:
Example 12.1 (Muddy Children) Three children
followed by an initial request:
None of the children will presumably step forward after the first request. Each child will see other children with mud in their foreheads, but none of them will know whether they themselves are muddy.
Matters change when she repeats the same request for a second time:
After the second request, the two muddy children will step forward while the third stays behind. For they now know that they are muddy.
The example raises a number of questions:
Did the children learn anything new after the announcement that one of them was muddy?
What changed between the initial request when no one stepped forward and the later one when two muddy children did?
How did the two muddy children come to know that they had mud in their foreheads?
Here is a diagrammatic representation of the situation before the initial announcement.
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Before Announcement A |
We represent the relevant states of information with respect to the question at hand by ordered triples of digits, which encode the state of each children in that order. Thus for example:
The eight nodes correspond to eight states, which consist of different distributions of mud across the children. The nodes are connected by different accessibility relations, which correspond to each child as an epistemic agent. We assume that each relation is reflexive and symmetric: when an edge labeled
The effect of the announcement
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After Announcement A |
While announcement
The children learn valuable information from the fact that no one steps forward after request
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After Request B |
After request B,
That allows the children to eliminate all epistemic alternatives to
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After Request C |
Nothing changes when we complicate the situation. If, for example, seven out of ten children happened to be muddy, then no one would step forward until after the guardian makes the seventh request at which point exactly those seven children would simultaneously step forward. More generally, given
What do the children learn after the first announcement? Notice that they all know that at least one child is muddy even prior to the announcement. We may use
Example 12.2 Let us revisit the initial model for the Muddy Children Puzzle and let
That is because:
Common knowledge plays a crucial role in social interaction. When we drive, for example, we rely on the fact that it is common knowledge that a red light requires drivers to stop. It is not sufficient for a pedestrian to know that, but it is important to know that drivers know that and for them to know that everyone knows that, etc.
How should we incorporate common knowledge in the language of epistemic logic? There is no hope for an explicit definition of common knowledge in terms of knowledge, for that would presumably require an infinite conjunction, which is not available in the language. We will instead expand the language of epistemic logic with a common knowledge operator,
Once we do this, we must explain how to evaluate a formula of the form
a state
a state
Example 12.3 For purposes of illustration, notice that in the initial model for the Muddy Children Puzzle
That is, there are two-step paths one may take from
Finally,
Here is the clause for
In other words,
Example 12.4 (Common Knowledge and Muddy Children) Let us revisit the model for the Muddy Children Puzzle prior to the first announcement:
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Before Announcement A |
When we apply the definition of truth at a state to the case at hand, we find:
The situation changes once the children eliminate that option after the announcement. One of the effects of the announcement in the Muddy Children Puzzle is to make it common knowledge that at least one child is muddy: it is not just that all children know that at least one child is muddy, all children now know that all children know, and all children know that all children know that they know that, etc.
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After Announcement A |
If we use
This is because the disjunction is true at every state reachable from
After the first request is made without any children stepping forward, the children are able to rule out as epistemic alternatives states in which only one child is muddy.
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After Request B |
At this point, the fact that two children are muddy now becomes common knowledge, since only states where two children are muddy are reachable from the state of evaluation in a finite number of steps.
The actual distribution of mud becomes common knowledge after the two children step forward after the thrid request. That is because they are all left with a single epistemic live option:
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After Request C |
The accessibility relation for common knowledge,
One axiomatization of the logic of common knowledge employs an an axiom and a rule of inference:
The fixed point axiom regards common knowledge as a fixed point of the
function that maps a formula
The rule of inference is called an induction rule because the antecedent provides the crucial ingredient for an inductive argument for all instances of the schema:
We are in a position to prove some theorems of the logic of common knowledge.
Proposition 12.1
Proof. This is a simple consequence of the Fixed Point axiom:
Proposition 12.2
Proof. This is a simple consequence of the rule of inference for common knowledge.
Modal logic provides a formal framework for a study of the interplay between knowledge and belief. (R. Stalnaker 2006Stalnaker, Robert. 2006. “On Logics of Knowledge and Belief.” Philosophical Studies: An International Journal for Philosophy in the Analytic Tradition 128 (1): 169–99.) proposes to supplement the language of epistemic logic with a family of further propositional operators
We supplement the relational models of epistemic logic with a family of accessibility relations
Definition 12.3 (Truth at a State)
Belief, like knowledge, aims to locate the actual world in the space of doxastic live options, and, in particular, to exclude certain states of the world as candidates for actuality. One belief state
The logic of knowledge and belief includes axioms for the interaction between the two propositional attitudes. (R. Stalnaker 2006Stalnaker, Robert. 2006. “On Logics of Knowledge and Belief.” Philosophical Studies: An International Journal for Philosophy in the Analytic Tradition 128 (1): 169–99.) offers a concrete proposal, which begins with the factivity of knowlegde:
We observed that this amounts to the requirement that the
Factivity is not at all plausible when it comes to belief; we often believe what is not the case. There is, however, a weaker constraint on belief we should consider, namely, that an agent never believes a proposition and its negation. Since
That in turn requires the
None of these axioms constrains the interaction between knowledge and belief, but it seems that a minimal constraint on knowledge is that belief is necessary for knowledge. We know that belief is not sufficient for knowledge and the point of the classic analysis of knowledge in terms of justified true belief is to find further necessary and sufficient conditions for knowledge. The next axiom encodes the principle that belief is a necessary condition for knowledge.
This principle requires every doxastic alternative to count as an epistemic alternative to the state of evaluation
Two more axioms encode the assumption that agents have epistemic introspective access to their doxastic states:
One knows that one believes what one believes
Positive Introspection says that an agent believes something only if they know that they believe it. On the other hand, Negative Introspection tells us that something is doxastically open for an agent only if they know that it is doxastically open.
Since knowledge entails belief, we derive weaker forms of introspection for belief as immediate consequences:
The choice of axioms is not inconsequential for the pure logic of knowledge, which turns out to extend
That will, in turn, require the relations of epistemic
The modal logic
Proposition 12.3
Proof. Here is a derivation of
There is one final constraint to consider, which concerns the very nature of belief. (R. Stalnaker 2006Stalnaker, Robert. 2006. “On Logics of Knowledge and Belief.” Philosophical Studies: An International Journal for Philosophy in the Analytic Tradition 128 (1): 169–99.) proposes to conceive of belief as a propositionally attitude which is internally indistinguishable from knowledge. To believe something is to believe you know it. That is if you hesitate when you consider whether you know something, then you do not genuinely believe it. This is the axiom Stalnaker calls Subjective Certainty:
This axiom turns out to have an important ramification for the logic of belief and knowledge. For given
Proposition 12.4
Proof. Here is a derivation
When combined, we find that the axioms of knowledge and belief enforce an equivalence between belief and a species of ignorance: you believe if, and only if, you do not not know that you know.
Proposition 12.5
Proof. One direction is line 5 in the derivation of
We have derived the biconditional in the logic of knowledge and belief, but a different course of action would have been to remain in the language of epistemic logic and introduce a belief operator as a defined operator: