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SITUATION CALCULUS WITH
CONCURRENT EVENTS AND
NARRATIVE
John McCarthy, Stanford University
January 28, 2001
If this version is relevant, you may cite it.
Abstract
Concurrent events are treated merely by not forbidding them. Nar-
rative is treated as a collection of situations and events and relations
among them. Narrative is easier than planning, because it does not
require that the effects of events be guaranteed. Prediction is harder
than planning, because it requires that the actions be inferred from
the motives of the actors.
Introduction—Objectives of Situa-
tion Calculus
The logic approach to AI ([McCarthy, 1959] and [McCarthy, 1989]) is
to make a computer program that represents what it knows about the
world in general, what it knows about the situation it is in, and also
its goals all as sentences in some mathematical logical language. It
then infers logically what action is appropriate for achieving its goal
and does it. Since 1980 it has been widely known that nonmonotonic
inference must be included. The actions it can perform include some
that generate sentences by other means than logical inference, e.g. by
observation of the world or by the use of special purpose non-logical
problem solvers.
Simpler behaviors, e.g. actions controlled by servomechanisms or
reflexes can be integrated with logic. The actions decided on by
logic can include adjusting the parameters of ongoing reflexive ac-
tions. Thus a person can decide to walk faster when he reasons that
otherwise he will be late, but this does not require that reason control
each step of the walking. 1
Situation calculus is an aspect of the logic approach to AI. A sit-
uation is a snapshot of the world at some instant. Situations are rich
objects in that it is not possible to completely describe a situation,
only to say some things about it. From facts about situations and
general laws about the effects of actions and other events, it is possi-
ble to infer something about future situations. Situation calculus was
first discussed in [McCarthy, 1963], but [McCarthy and Hayes, 1969]
was the first widely read paper about it.
In this formalization of action in situation calculus, we treat three
kinds of problem—narrative, planning and prediction.
Of these, narrative seems to be the simplest. A narrative is an
account of what happened. We treat it by giving some situations and
some events and some facts about them and their relations. Situations
in a narrative are partially ordered in time. The real situations are
totally ordered, but the narrative does not include full information
about this ordering. Thus the temporal relations between situations
in different places need only be described to the extent needed to
describe their interactions.
In situation calculus as it was originally envisaged and has been
used, events (mainly actions) in a situation produce next situations,
e.g. s(cid:48)
= result(e, s)
. The original theory did not envisage more
than one event occurring in a situation, and it did not envisage inter-
mediate situations in which events occur. However, rarely did people
write axioms that forbade these possibilities; it’s just that no-one took
advantage of them. 2
Our present formalism doesn’t really change the basic formalism
of the situation calculus much; it just takes advantage of the fact that
the original formalism allows treating concurrent events even though
concurrent events were not originally supposed to be treatable in that
1Thus I protect my flank from the disciples of Rod Brooks.
2Reiter and Lifschitz did write such axioms.
formalism. Gelfond, Lifschitz and Rabinov [?] treat concurrent events
in a different way from what we propose here.
In a narrative, it is not necessary that what is said to hold in a sit-
uation be a logical consequence (even nonmonotonically) of what was
said to hold about a previous situation and known common sense facts
about the effects of events. In the first place, in stories new facts about
situations are often added, e.g. “When Benjamin Franklin arrived in
London it was raining”. In the second place, we can have an event
like tossing a coin in which neither outcome has even a nonmonotonic
preference.
Nevertheless, some narratives are anomalous.
If we record that
Junior flew to Moscow, and, in the next situation mentioned, assert
that he is in Peking, a reader will feel that something has been left
out, some Gricean implicature [Grice, 1989] has been violated. We
want to introduce a concept of a proper narrative, but it isn’t clear
exactly what it should be. The fluents holding in a new situation
should be reasonable outcomes of the events that have been reported,
except for those fluents which are newly asserted, e.g.
that it was
raining in London when Franklin arrived. Perhaps the assertions that
do not follow from previous events should sometimes be tagged as
such. The word “but” does this in ordinary language, so maybe we
want a but construction. Of course, “but” is used in discourses that
are not narratives.
In interpreting the following formalizations, we regard situations
as rich objects and events as poor. In fact, we are inclined to take a de-
terministic view within any single narrative. In principle, every event
that occurs in a situation and every fact about following situations is
an inevitable consequence of the facts about the situation. Thus it
is a fact about a situation that a coin is tossed and that it comes up
tails. However, such facts are only occasionally consequences of the
facts about the situation that are actually stated in the narrative.
Perhaps narrative seems easy, since it is not yet clear what facts
must be included in a narrative and what assertions should be in-
ferrable from a narrative.
2 Nonmonotonic Reasoning from Nar-
ratives
This section is informal, because we want to discuss what the con-
sequences of a narrative should be before discussing how to make
circumscription or some other nonmonotonic formalism do what we
want. Here are some kinds of inference we want to be able to make.
Preconditions An action has only those preconditions that can be
inferred from the facts at hand.
Ramifications Only the effects of an event that can be inferred from
the narrative are relevant to the future course of the events men-
tioned in the narrative.
Presence of objects The only objects satisfying certain fluents in a
situation are those for which it follows from what is stated. Some
of the “it follows” assertions are inferred nonmonotonically. One
child will infer that another child has parents but not that the
child has a dog.
Normal effect An event has its normal effect unless something pre-
vents it.
Occurrences Only such events occur in a situation or its successors
as are asserted or inferred or which don’t affect conclusions that
might be drawn from their nonoccurrence.
This condition must be formalized very carefully, as is apparent
when we elaborate a particular event as a sequence of smaller
events. “How did he buy the Kleenex? He took it off the shelf,
put it on the counter, paid the clerk and took it home.” A nar-
rative that just mentions buying the Kleenex should not allow
nonmonotonic reasoning that excludes this particular elabora-
tion. Moreover, if we elaborate in this way, we don’t want to
exclude subsequent elaboration of component events, e.g. elab-
orating paying the clerk into offering a bill, taking the change,
etc.
Inertia Events change only those fluents they can be inferred to
change. Fluents or fluent valued functions may be declared to
be dependent by statements like
dependent(distance)
.
(1)
This statement would have the effect of making
distance(x, y)
change with changes in x and y and have no inertia of its own.
Processes that have started in a situation continue until some-
thing changes their course or they terminate as called for in their
axiomatizations.
Obstacles Only such obstacles arise to events having their normal
effects as can be inferred.
Actions Minimize unmotivated actions.
We will very likely use something like the Reiter and Levesque
technique of a two stage minimization. (Reiter’s Research Ex-
cellence lecture and subsequent discussions.) (Advice to use this
technique may serve as an example of the declarative expression
of heuristics.)
3 Glasgow, London, Moscow and New
York Narratives
The object of this section is to give narratives illustrating the treat-
ment of concurrent events in two cases. The first is when two sub-
narratives do not interact, and the second is when they do. The first
sub-narrative is ordinary block stacking (as discussed in many situa-
tion calculus papers), and we suppose the stacking to be done by a
person called Daddy in New York. In the second sub-narrative, the ac-
tor is named Junior, and he wants to fly from Glasgow to Moscow via
London. The story is taken from an earlier unpublished but widely
circulated manuscript [McCarthy, 1992] discussing how circumscrip-
tion could be used to treat an unexpected obstacle to a plan. In this
case, Junior may or may not lose his ticket in London. The change is
made by adding a single sentence to the facts. Without that sentence,
one can conclude that flying to London and then to Moscow will get
Junior to Moscow. With it he must buy another ticket in London,
i.e. we can no longer conclude that the original sequence of actions
will work, but we can conclude that the revised sequence that includes
buying a ticket in London will work.
Because we want to treat interacting events, we make life more
complicated for Junior. If he loses his ticket, he must wire Daddy in
New York for money. Daddy, who normally indulges Junior, has to
interrupt his block stacking and sell a block in order to get the money
to send Junior.
Narrative 1
In this narrative Junior doesn’t lose his ticket and gets to Moscow
without asking for help. Daddy stacks blocks in New York. There is
no interaction, and nothing is said about the time relations between
the two sub-narratives.
holds(at(Junior, Glasgow), S0)
holds(has(Junior, T icket1), S0)
holds(has(Junior, T icket2), S0)
is-ticket(T icket1, Glasgow, London)
is-ticket(T icket2, London, M oscow)
holds(exists-f light(Glasgow, London)
, S0)
holds(exists-f light(London, M oscow), S0)
occurs(does(Junior, f ly(Glasgow, London)
), S0)
S0 < S1
holds(at(Junior, London), S1)
(2)
(3)
(4)
(5)
(6)
(7)
(8)
(9)
(10)
(11)
When Junior is in London, inertia gets us that the flights still exist,
and Junior still has Ticket2. As for Ticket1, we would infer that he
still has it unless we brought in the fact that a ticket is used up when
one takes the flight the ticket is for. That is certainly a part of the
knowledge of anyone who travels using tickets. Thus someone who had
travelled by bus would infer it about airplane travel. Indeed it could
be inferred from more general principles about commerce, e.g. that
a seller doesn’t want to allow the buyer to get an arbitrary number
of what he has a paid for one of. However, anyone who travels has
the more specific information and doesn’t need to infer it from general
principles about commerce. Indeed he may never have formulated any
general principles about commerce.
occurs(does(Junior, f ly(London, M oscow)), S1)
(12)
S1 < S2
holds(at(Junior, M oscow), S2)
Now we begin Daddy’s life as a block stacker. We have stated no
relation between the situations S0 and S0(cid:48) and know nothing of their
temporal relations. If we asserted
time S0 < time S0(cid:48) < time S1,
(15)
then we could conclude that Junior still had the tickets in S0(cid:48). Also
asserting S0(cid:48) = S0 would do no harm to the conclusions drawn about
either subnarrative. We have asserted that Daddy has the three blocks
mentioned, and we would like to be able to draw the nonmonotonic
conclusion that these are all the blocks he has.
holds(at(Daddy, N Y ), S0(cid:48))
holds(has(Daddy, Block1)
, S0(cid:48))
holds(has(Daddy, Block2)
, S0(cid:48))
holds(has(Daddy, Block3)
, S0(cid:48))
holds(on(Block1, T able), S0(cid:48))
holds(on(Block2, T able), S0(cid:48))
holds(on(Block3, top Block1), S0(cid:48))
(13)
(14)
(16)
(17)
(18)
(19)
(20)
(21)
(22)
occurs(does(Daddy, move(Block3, T able)), S0(cid:48))
(23)
holds(on(Block3, T able), S1(cid:48))
occurs(does(Daddy, move(Block2, top Block1)), S1(cid:48))
(26)
holds(on(Block2, top Block1), S2(cid:48))
occurs(does(Daddy, move(Block3, top Block2)), S2(cid:48))
(29)
S0(cid:48) < S1(cid:48)
S1(cid:48) < S2(cid:48)
S2(cid:48) < S3(cid:48)
(24)
(25)
(27)
(28)
(30)
(31)
holds(on(Block3, top Block2), S3(cid:48))
We can imagine that blocks being clear is a precondition for moving
them. The preceding subnarrative does not violate this precondition,
but in a narrative we don’t ordinarily have to show that preconditions
are satisfied. We should be able to conclude via inertia that Daddy
has the three blocks in the final situation.
Narrative 2
Now Junior loses the ticket and sends a telegram to Daddy asking
for money. Daddy, who normally indulges Junior, sells a block and
sends Junior the money, who buys a London-Moscow ticket and goes
on to Moscow. I chose a telegram rather than a telephone call, be-
cause I would not want to tell about a telephone call as a sequence
of statements by Junior and Daddy but rather to regard its result as
a joint action, e.g. an agreement that Junior and Daddy would do
certain actions.
Note also we haven’t treated what Daddy now knows as the result
of the telegram. It seems that treating knowledge and treating agree-
ment are similar in their requirement for treating intentional entities.
The intentional state that Junior has requested that Daddy send him
the money is not merely that Daddy knows that Junior wants Daddy
to send him the money. Also the agreement is likely to have some-
thing like a bit of narrative as an argument, e.g. a set of actions that
Junior and Daddy will do with only partial time relations between the
actions.
holds(at(Junior, Glasgow), S0)
holds(has(Junior, T icket1), S0)
holds(has(Junior, T icket2), S0)
is-ticket(T icket1, Glasgow, London)
is-ticket(T icket2, London, M oscow)
holds(exists-f light(Glasgow, London)
, S0)
holds(exists-f light(London, M oscow), S0)
occurs(does(Junior, f ly(Glasgow, London)
), S0)
(39)
S0 < S1
holds(at(Junior, London), S1)
Up to here, narrative 2 is the same as narrative 1. Also insert here
the sentences between equations (16) and (31).
occurs(loses(Junior, T icket2), S1)
(42)
We want to regard losing the ticket as something that happens to
Junior rather than as something he does. That’s why we don’t write
does(Junior, lose T icket2). The bad consequences of doing the latter
would arise when we get around to writing laws that quantify over
voluntary actions.
(32)
(33)
(34)
(35)
(36)
(37)
(38)
(40)
(41)
We will use some of the same names now for situations that are
different than in narrative 1.
S1 < S2
¬holds(has(Junior, T icket2), S2)
value(cash Junior, S2) < value(airf are(London, M oscow), S2)
e1 = does(Junior, telegraph(Daddy, request send airf are(London, M oscow)))occurs(e1, S2)
S2 < S3(cid:48)
occurs(receives(Daddy, telegram-f rom(Junior, request send airf are(London, M oscow))), S3(cid:48))value(cash Daddy, S3(cid:48)) < value(airf are(London, M oscow), S2)
occurs(does(Daddy, sell Block3), S3(cid:48))
S3(cid:48) < S4(cid:48)
value(cash Daddy, S4(cid:48)) > value(airf are(London, M oscow), S2)
occurs(does(Daddy, send(Junior, airf are(London, M oscow), S2)), S4(cid:48))
(43)
(44)
(45)
(46)
(47)
(48)
(49)
(50)
(51)
(52)
(53)
(54)
(55)
(56)
(57)
(58)
(59)
(60)
(61)
(63)
(64)
¬holds(has(Daddy, Block3)
, S4(cid:48))
S4(cid:48) < S3
value(cash Junior, S3) > value(airf are(London, M oscow), S3)
occurs(does(Junior, buy T icket3), S3)
is-ticket(T icket3, London, M oscow)
holds(has(Junior, T icket3), S4)
occurs(does(Junior, f ly(London, M oscow)), S4)
(62)
holds(at(Junior, M oscow), S5)
Interpolating unconnected situations and events into a narrative
should not harm the conclusions. For example, we could put situa-
tions S0.5 and S0.7 between S0 and S1, i.e. time(S0)
< time(S0.5)
<
time(S0.7)
< time(S1)
, and suppose that Junior reads a book on the
airplane during the inner interval. The previous statements about
what holds when Junior arrives in London should still seem ok. How-
ever, suppose we postulate that Junior spent time in Peking on the
way from Glasgow to London. This would make the narrative anoma-
lous, but some geograhical knowledge is required to make the anomaly
apparent.
S3 < S4
S4 < S5
4 Elaboration of Narratives
Suppose we are asked, “How did Junior fly from Glasgow to Lon-
don?” and want to respond with facts about taking a taxi to the
airport, presenting his ticket at the check-in counter, going to the
gate, getting on the airplane, taking his assigned seat, etc. We can
add this additional narrative with its intermediate situations, and we
can throw in reading the book if we like. There is no reason to discard
occurs(does(Junior, f ly(Glasgow, London)
), S0). We merely have a
redundant way of reaching the same conclusion. However, we would
like a sentence relating the more detailed narrative to the less detailed
narrative, i.e. of asserting that one realizes the other. For this we
will at least need narratives as objects, and this has not yet been
introduced.
Note that the relation elaborates(N 2, N 1), when we get around
to introducing it, will not be like the relation between a subroutine
call and the subroutine. N 1 will not in any sense be the definition
of N 2. N 2 could be realized in a number of ways, only one of which
corresponds to N 1.
The elaboration involved in telling about Junior reading a book is
of a different kind from that involved in telling about his taking a taxi
to the airport, because reading the book is a parallel operation rather
than a means of accomplishing part of the travel. Reading should be
simpler to treat. In fact it may be more like Daddy stacking blocks in
New York.
Suppose, however, that we want to treat reading the book as a sim-
ple sequential situation calculus account using the function result(a, s)
.
We will need to encapsulate the reading narrative in some way. The
obvious way to do it is by using a context in which we do the reasoning
about reading, e.g. what has to be read first in order to understand
the subsequent chapters of the book, etc. It is not obvious what to
call this context, but for now let’s give it an arbitrary name c21. By
the way, using the context theory of [?] requires that the sentences of
the whole narrative be true in an outer context—call it c0.
What should be the language of this context c21, and what should
the initial sentences p such that ist(c21, p)
? c21 should also have
some nonmonotonic rules specific to reasoning within it. For example,
it may assume some kinds of normality of the reader, e.g. that he
knows the language of his reading material. This assumption will
be realized by applying some defaults to facts in the common sense
database about reading.
There are two possible approaches to forming c21, i.e. to asserting
what is true in it. The first approach is to derive these facts from the
situation in some way. The second approach is to state them by fiat.
(As Russell put it, the advantages of the axiomatic method are the
same as the advantages of theft over honest toil.) We take the latter
approach with the consequence that we will later have more work to
do when we want to lift conclusions from c21 to an outer context.
c21 should be adapted to precisely the reasoning that has to be done
about Junior’s reading. Thus if we have the formalism in good shape,
nothing about the fact that Junior is travelling by airplane should
need to affect c21.
5 Planning
We would like to treat the circumstances of the previous narrative
from the point of view of planning. In that case we need to be explicit
about the consequences of actions and other events.
6 Prediction
Let us consider the purposes of Junior and Daddy and predict what
actions they will take and what the outcome will be. Of course, Junior
losing the ticket will be an unpredicted event. We just throw it in,
but then we should be able to predict what Junior and Daddy will
subsequently do.
7 Elaborations
Events are composed of subevents and objects are composed of sub-
objects. In the real world, such elaborations have detail far beyond
what a human or robot can know. Moreover, events and objects, etc.
can be elaborated in a variety of ways.
7.1
I
n section 2 we mentioned elaborating the purchase of a box of Kleenex.
Since buy a box of Kleenex might be accomplished in a variety of ways
realizes(take(Kleenex1); place(Kleenex1, Counter1); pay(Clerk1); take(Kleenex1), buy(Kleenex1), s)
.we need to write something like
(65)
This is too simple, because it is sequential. I suppose the answer is
that an event is realized by a subnarrative. If so one is tempted to the
further complication of allowing events that result in many situations.
7.2 Elaboration of Narratives
Here is a start on a formalization. Narratives are first class objects.
We will be interested in a relation elaborates(N 2, N 1) asserting that
narrative N 2 is an elaboration of narrative N 1. Intutively, narratives
are collections of events and situtaions and relations among them.
Tentatively, we will not use sets in our formalism. Instead we make
the narrative an additional parameter of sentences concerning situa-
tions and events—thus we have occurs(e, s, N )
. Entering a context
associated with the narrative N permits writing occurs(e, s)
as has
been our custom.
There are two ways of looking at narratives that elaborate other
narratives, and maybe we need both of them.
Suppose we have elaborates(N 2, N 1). We may be asserting that
N 1 occurred, and N 2 also occurred and gives more detail. On the
other hand, we may regard N 2 as a mere hypothetical elaboration of
N 1, even a counterfactual elaboration.
We need parts of narratives, and an axiom saying that an elabo-
ration of a part of a narrative extends to an elaboration of the whole
in the obvious way.
7.3 Elaboration of Objects
The elaboration of objects is presumably like the elaboration of events,
but it is likely to be more complicated, because objects are three
dimensional.
8 Role of Context
It might be a good idea when starting a narrative or to achieve a goal
to begin with an almost empty context, e.g. with just the task in it.
Then the narrative itself comes in sequentially and related facts are
retrieved from the common sense database. This permits nonmono-
tonic reasoning that the only events that have certain effects are those
that can be shown to do so on the basis of the facts that have been
retrieved.
9 Philosophical Considerations
Reality is the determinist limit of nondeterminist approximations. In
what a human or robot can know about the world, many events are not
inevitable. In any human account, it did not have to be raining when
Benjamin Franklin first arrived in London. Indeed maybe it wasn’t.
Even if the world is deterministic, any achievable description of it is
nondeteterministic. Elaborations of particular narratives sometime
remove some of the nondeterminism by accounting for the causes of
particular events and for fluents holding in the results of these events.
Therefore, it may be worthwhile to regard the world as determinist
and suppose that every event has causes whether we know them or
not. Thus any particular nondeterminism is potentially eliminable.
It might be supposed that quantum mechanics vitiates these con-
siderations, but I don’t think it requires modifications on the com-
mon sense level. Free will in a determinist world is discussed in
[[McCarthy and Hayes, 1969]].
10 Other Approaches
11 Remarks
sense reasoning.
I think this article shows it. Moreover, it is
also usually unnecessary to combine concurrent events into com-
pound events as do Gelfond and Lifschitz [?].
12 Acknowledgments
This article has benefitted from discussions with Sasa Buvac, Tom
Costello, Fausto Giunchiglia, Fiora Pirri, Murray Shanahan.
13 Scaffolding
This section will be removed from the final paper. It is included now
only so that its remarks will appear when the document is latexed.
The word “but” can play a role in narrative. Suppose an event
leads to a situation, but the properties being asserted about the situ-
ation are not what would normally follow from the occurrence of the
event. Perhaps a good narrative should label the anomalous fluents
of the new situation with “but”.
cannot
We have not yet treated being able to prove that a person cannot
accomplish something or that something cannot happen. The easiest
way to think about this may be to have Junior try to prevent Daddy
from doing something.
quotes from Russell and Bell
common sense informatic situation
facts vs. what is known
It seems that ¡ should not be transitive. Narratives should be
objects.
Fluents should be inferred to persist as long as there is no event
in the narrative or directly following from the narrative that would
change this.
It may be advantageous to treat processes by introducing a fluents
that persist and whose persistence determines that some secondary
fluents change in a specified way, e.g.
f alling ⊃ s = 1/2gt2.
(66)
We need to be able to declare some fluents as dependent on others
so that their change or persistence is not inferred separately, e.g.
depends(distance(x, y), location(x), location(y))
(67)
Actually it might suffice to write
dependent(distance)
(68)
Probably Vladimir has thought about this possibility and should
be asked. Whether a fluent is dependent may depend on context.
Maybe we should distinguish between asserting the dependence of
fluents and that of functions whose value is a fluent (as in the present
example).
It looks like we may need priorities to handle the rules about what
persists because of the narrative or what follows from the narrative.
Somehow he got to Moscow after losing his ticket. What is the
semantics of “somehow”?
Events:
losing ticket
buying ticket
moving block
selling block
sending telegram with messaage
sending money
fly(x,y)
Can these be handled in a uniform way? An event is realized by
a sequence of subevents, actually by a subnarrative. Indeed suppose
that how a person performs an action involves delegating some of
the work to another person. It is usually unnecessary to completely
specify the sequential or temporal relations of the work performed by
the different people.
The biggest strain on the single history interpretation will come
with counterfactuals or trying to compare the outcomes of different
strategies. That’s where the free will approximation comes in. Thus
free will is an approximate theory in a determinist world.
References
[Grice, 1989] Grice, H. P. “Studies in the Way of Words”, Harvard
University Press, Cambridge, Mass., 1989.
[McCarthy, 1959] McCarthy, John (1959): “Programs with Com-
mon Sense”, in Proceedings of the Teddington Conference on
the Mechanization of Thought Processes, Her Majesty’s Sta-
tionery Office, London. Reprinted in [McCarthy, 1990].
[McCarthy, 1963] McCarthy, John (1963): “Situations, Actions
and Causal Laws.” Stanford Artificial Intelligence Project:
Memo 2. (First appearance of situation calculus).
[McCarthy and Hayes, 1969] McCarthy, John and P.J. Hayes:
“Some Philosophical Problems from the Standpoint of Arti-
ficial Intelligence”, in D. Michie (ed), Machine Intelligence
4, American Elsevier, New York, NY, 1969. Reprinted in
[McCarthy, 1990].
[McCarthy, 1989] McCarthy, John (1989): “Artificial Intelligence
and Logic” in Thomason, Richmond (ed.) Philosophical Logic
and Artificial Intelligence (Dordrecht ; Kluwer Academic,
c1989).
[McCarthy, 1990] McCarthy, John: Formalizing Common Sense,
Ablex, Norwood, New Jersey, 1990.
[McCarthy, 1992] McCarthy, John (1992): “Overcoming Unex-
pected Obstacles”, unpublished manuscript with some errors
in the formalizations.
/@sail.stanford.edu:/u/jmc/e93/narrative.tex: begun 1993 Jul 5, latexed 2001 Jan 28 at 4:52 p.m.