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OVERCOMING UNEXPECTED
OBSTACLES
John McCarthy
Computer Science Department
Stanford University
Stanford, CA 94305
jmc@cs.stanford.edu
http://www-formal.stanford.edu/jmc/
2001 Apr 14, 3:13 p.m.
Abstract
The present note illustrates how logical formalizations of common
sense knowledge and reasoning can achieve some of the open-endedness
of human common sense reasoning. A plan is made to fly from Glasgow
to Moscow and is shown by circumscription to lead to the traveller
arriving in Moscow. Then a fact about an unexpected obstacle—
the traveller losing his ticket—is added without changing any of the
previous facts, and the original plan can no longer be shown to work
if it must take into account the new fact. However, an altered plan
that includes buying a replacement ticket can now be shown to work.
The formalism used is a modification of one developed by Vladimir
Lifschitz, and I have been informed that the modification isn’t correct,
and I should go back to Lifschitz’s original formalism. April 14,2001:
I still haven’t done it, so this article has to be regarded as tentative. I
hope to fix the problems without going back to Lifschitz’s formalism,
which I find awkward.
Introduction
In contrast to reasoning within a formal theory of the conventional sort used
in science or operations research, common sense reasoning (McCarthy 1959)
is open-ended. More facts than were originally taken into account may turn
out to be relevant. Formalizing common sense requires a formal system that
preserves this open-endedness. It can be done by formalizing nonmonotonic
reasoning.
We present a straightforward example of how a system might take into
account new facts. An unexpected obstacle vitiates the inference that the
usual sequence of actions will achieve a goal. Then, without changing any
existing premise, a system can infer that inserting a suitable new action in
the sequence achieves the goal.
(McCarthy and Hayes 1969).
are made explicit preconditions.
succeeds. However, it can be inferred that the plan of flying to London, then
buying a ticket and then flying to Moscow does succeed.
This example shows that it is possible to make a formalism that (1) can
be used to infer that a certain plan will succeed, (2) can no longer infer that
the plan will succeed when an obstacle is asserted to exist, (3) can be used
to infer that a different plan that includes actions to overcome the obstacle
will succeed.
Our formulas include only the parameters needed to illustrate the reason-
ing. They don’t even include the traveller, i.e. the person whose actions are
reasoned about. From the point of view of demonstrating full common sense
reasoning this is a blemish. However, we believe that the very formulas used
here can be preserved provided we enter a suitable context. Formal reasoning
about contexts is discussed in (McCarthy 1993).
2 The Formulas
Here are the formulas.
holds(not p, s) ≡ ¬holds(p, s)
This relates the operator not as applied to fluents to logical negation.
succeeds(a, s)
≡ (∀p)(precond(p, a)
⊃ holds(p, s)
).
This tells us that an action succeeds in a situation s if all its preconditions
hold in the situation. Actually, it’s a definition of the predicate succeeds.
succeeds(a, s)
∧ causes(a, p)
⊃ holds(p, result(a, s))
.
If an action succeeds in a situation and it is one that causes a fluent to hold,
then the fluent holds in the situation that results from the preformance of
the action.
¬noninertial(p, a)
∧ holds(p, s)
⊃ holds(p, result(a, s))
This tells us that unless an action affects a fluent, then the fluent holds after
the action if it held before the action.
occurs(e, s)
⊃ outcome s = outcome result(e, s)
This and the next axiom give the effects of events different from actions.
(∀e¬occurs(e, s)
) ⊃ outcome s = s
occurs(e, s)
⊃ outcome s = outcome result(e, s)
rr(a, s)
= outcome result(a, s)
This is an abbreviation for the situation that results from an action after all
the events that occur after it have happened.
causes(f ly(x, y)
, at y)
This is the first axiom specifically about the effects of flying. It says that
flying from x to y causes being at y.
precond(at x, f ly(x, y)
)
You must be at x to fly from there to y.
precond(hasticket, f ly(x, y)
)
Also you must have a ticket.
precond(existsf light(x, y)
, f ly(x, y)
)
And there must be a flight.
The effect of losing a ticket.
causes(loseticket, not hasticket)
The effect of buying a ticket.
causes(buyticket, hasticket)
holds(at Glasgow, S0)
This is the first fact about the initial situation S0. The traveller is at Glas-
gow.
holds(hasticket, S0)
He has a ticket in S0
holds(existsf light(Glasgow, London)
, S0)
holds(existsf light(London, M oscow), S0)
The necessary flights exist.
circum(F acts; causes, precond, noninertial, occurs; holds)
This is the circumscription of the predicates causes, precond, noninertial
and occurs with holds allowed to vary that is done with the conjunction
(called F acts) of these axioms. Understanding this may require reading
(McCarthy 1987); (Lifschitz 1987) would also help. Once the circumscription
has been done, we can show
holds(atM oscow, rr(f ly(London, M oscow), rr(f ly(Glasgow, London)
, S0))),
but not if we add
occurs(loseticket, result(f ly(Glasgow, London)
, S0)).
However, in this case we can show
holds(atM oscow, rr(f ly(London, M oscow), rr(buyticket, rr(f ly(Glasgow, London)
, S0)))).3 Avoiding Considering Preconditions
It is a precondition for air travel without additional actions that one be
clothed, holds(clothed(traveller), s)
, that one not be lame holds(not lame(traveller)
, s),and holds(speaks-English(traveller), s), etc. With a bow towards later ex-
plaining how to make this happen using formalized contexts ((McCarthy 1989)
(McCarthy 1991,1992) we’ll abbreviate the above to the propositional fluents
clothed, not lame and speaks-English. In one respect these conditions are
similar to the condition that one have a ticket. However, one is willing to
specify as part of the formalization of air travel that one have a ticket, but
it is not reasonable to refer explicitly to these other conditions.
Here’s an approach to doing it. The simplest approach would be to have a
fluent ab7(traveller)
, abbreviated ab7, and have sentences not clothed ⊃ ab7,
etc. We then use not ab7 as a precondition for flying. We then circumscribe
ab7. This doesn’t work well enough for two reasons. First we still have to
mention all these other conditions in the circumscription and circumscribe
them also. Second, suppose one of the conditions fails, e.g. the traveller is
lame so a wheelchair must be provided. Then we lose not ab7, and we haven’t
got rid of the other conditions.
At present I think the first problem has to be solved by some form of
present resembling the scope of (Etherington et al. 1991). If we circumscribe
it, we are jumping to the conclusion that the interfering phenomena aren’t
present The second problem may perhaps be solved by introducing a parame-
ter exceptions to ab7 and requiring that none of the exceptions be unresolved.
Both of these ideas require details.
Lifschitz, Vladimir (1987): “Formal theories of action”, in: The Frame
Problem in Artificial Intelligence, Proceedings of the 1987 Workshop, 1987.
4 References
References
Etherington, D. E., S. Kraus, and D. Perlis. 1991. Nonmonotonicity and
the scope of reasoning. Artificial Intelligence 52:221–262.
McCarthy, J. 1959. Programs with Common Sense1.
In Mechanisa-
tion of Thought Processes, Proceedings of the Symposium of the National
Physics Laboratory, 77–84, London, U.K. Her Majesty’s Stationery Office.
Reprinted in (McCarthy 1990).
McCarthy, J. 1980. Circumscription—A Form of Non-Monotonic Reason-
ing2. Artificial Intelligence 13:27–39. Reprinted in (McCarthy 1990).
McCarthy, J. 1986. Applications of Circumscription to Formalizing Com-
mon Sense Knowledge3. Artificial Intelligence 28:89–116. Reprinted in
(McCarthy 1990).
McCarthy, J. 1987. Generality in artificial intelligence. Communications
of the Association for Computing Machinery 30:1030–1035. Reprinted in
(McCarthy 1990).
McCarthy, J. 1989. Artificial Intelligence, Logic and Formalizing Common
Sense4. In R. Thomason (Ed.), Philosophical Logic and Artificial Intelli-
gence. Kl¨uver Academic.
1http://www-formal.stanford.edu/jmc/mcc59.html
2http://www-formal.stanford.edu/jmc/circumscription.html
3http://www-formal.stanford.edu/jmc/applications.html
4http://www-formal.stanford.edu/jmc/ailogic.html
McCarthy, J. 1990. Formalizing Common Sense: Papers by John Mc-
Carthy. Ablex Publishing Corporation.
McCarthy, J. 1993. Notes on Formalizing Context5. In IJCAI-93.
McCarthy, J., and P. J. Hayes. 1969. Some Philosophical Problems from
the Standpoint of Artificial Intelligence6.
In B. Meltzer and D. Michie
(Eds.), Machine Intelligence 4, 463–502. Edinburgh University Press.
/@steam.stanford.edu:/u/ftp/jmc/glasgow.tex: begun Sat Apr 14 13:33:30 2001, latexed April 14, 2001 at 3:13 p.m.
5http://www-formal.stanford.edu/jmc/context.html
6http://www-formal.stanford.edu/jmc/mcchay69.html