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Friday, June 11, 2010

Grice's Paradox: Grice on 8/9, 1/2 and 9/10 and the probability of "if p, q" -- rather than the (implicated) conditional probabiliy of q, given p

by J. L. S.
for the GC

DOCTOROW aply quotes from the precis on Grice's thought in the entry for the Stanford by the Richards (Grandy and Warner) -- cfr. Grice, Reply to Richards:

"the implicature [of if p, q] tracks the conditional probability of [q] given [p]", they write and right they are too. This is a conversational implicature for Grice, Lewis and most; a conventional implicature for Jackson.

----

Conditional probability thus does enter the picture. But Grice is more concerned with 'entailment' of "if p, q" and the paradox of contraposition -- at least in the latter bit of his fourth William James lecture to which the Richards refer.

On p. 78, he has a special section, which he calls "Grice's paradox" and concerns 8/9, 1/2, and 9/10, and how you have to mind not just your ps and qs but their probabilities, too.

-----

Here Grice uses "h" for the evidence -- which relates to the principle of Total Evidence as had been used by Davidson, and which Grice will later apply to practical arguments (via desirability, as well) later in the Kant lectures of 1977.

---

Grice formulates his paradox as follows:

"Yog and Zog play chess according to normal rule, but with two special conditions: (I) Yog as white 9 out of 10 times, and (II) there are no draws. To date there have been 100 games and the following held: (a) When white, Yog won 80 out of 90 games, and (b) When black, Yog won 10 out of 10 games. They played when of the 100 games last night. The Law of contraposition states that "if p, q" is equivalent to "if ~q, ~p". So, seemingly, the probabilities are: (i) 8/9 that if Yog had white, Yog won; (ii) 1/2 that if Yog lost, Yog had black; (iii) 9/10 that either Yog didn't white or he won. -- What is to be done? Abandon the Law of contraposition."

----

It is then that Grice cares to mention Dummett and Kripke. No references given so we assume they were at Harvard. Dummett incidentally will later the William James lectures himself ("The logical basis of metaphysics", which really is the metaphysical basis of logic). Grice knew Dummett since his VERY early Oxford days (Dummett had made a lot of enemies at Oxford since his rather 'vulgar' it was called paper for the Greyfriars -- 'vulgar' as Gellner was thought 'vulgar' in his attack. Grice has a note where he points (in the Grice collection) that Dummett was never accepted in the Play Group). Kripke will later be criticised by Patton (in unpublished work he allowed to share with the Club) as misinterpreting Grice in his 'semantic reference' versus 'speaker's reference' paper.

Grice writes:

"Dummett and Kripke suggest that we distinguish between I and II."

"I. the notion of the probability of a conditional relative to certain evidence h, a notion which is NOT altered if, for that conditional, we substitute the standard counterpositive, or, for that matter, its standard disjunctive countepart."

"For:

(if p, q)/h

is equivalent to

(if ~q, ~p)/h

and also to

(~p v q)/h"

II. "the notion of CONDITIONAL PROBABILITY as it is
exemplified in the probability of p, relative to
both q and h -- a notion which cannot
be treated as identical with the probability of
the negation of q, relative to the conjunction
of the negation of p and h."

"Further, they suggest that the puzzle about Yog
and Zog should be taken to relate to
CONDITIONAL PROBABILITIES and not to the
probability of conditionals."

But Grice suggests this is not so.

-- How Grice solves the Grice paradox:

"The [puzzle] is solved if we assume that

"if p, q" is (as I have suggested) naturally

adapated for (looks forward ) a possible

employment of modus ponendo ponens."


---

"We then think that the background information

we would use if given the second premise"

--

To wit:

"Yog had white"


---

"(when we would not, of course, consider that happened

when Yog had black)"

---.


"Similarly, if we are asked the PROBABILITY that

if Yog did not win, he did not have white, and if we take

this question to "look forward" the possession of

informtion that Yog did not win, we consider ONLY

what was the case when Yog did NOT win (as regards his

having white OR black) and IGNORE [or disregard. JLS]

cases in which Yog won."

---

"If we are asked the PROBABILITY that Yog

either did not have white or won, there is NO

direction (pointeering) to modus ponendo ponens,

so we consider the whole series of games which

were either ones in which Yog had black or ones

in which Yog won."



------------------ Grice, WoW, p. 80.



Mackie (early in 1972) had adopted Grice's conversational manoeuvre (i.e. the emphasis on the conversational implicatum) as regard counter-factive conditionals, "if p, q" for modes other than the indicative. Lewis brought the news to Austrlalia where it paid with Jackson who abandoned (but not for good) the conversational implicatum view and adopted a less beautiful 'conventional implicatum' view -- the term 'beautiful' I borrow from Strawson, 'If and )': "Grice's theory may be more beautiful, but mine is more boringly true" (or words). Good researchers who do this (Velasco, Adams, Stephen Barker, etc.) HAVE to go back to Grice to reconsider -- and good researchers -- as Arlo-Costa in "the logic of conditionals" (Stanford encyclopedia entry) will take up the notion of 'appropriate assertability' referred to by Grice and by the Richards in their entry for Grice for the same encyclopedia -- and which was quoted by Doctorow in his "Probably Grice".

2 comments:

  1. With discrete rather than continuous events (and chess and card games are discrete, as are dice and similar games) we are dealing with random variables that have discrete rather than continuous values or discrete rather than continuous probability mass functions/probability density functions and so on. There are some changes in various equations in that case, but roughly speaking they are approximations to the continuous case.

    One mistake that is made by Artificial Intelligence people or Computer Engineering people or both (and they almost always use discrete scenarios) is to attempt to "disprove" the logical conditional's applicability to their games by "showing" that conditional probability yields the correct results in the games while the logical conditional does not.

    To make a long story short, here is the "explanation" of what really happens.

    1. P(A-->B) gives a MEASURE of how much set/event A INFLUENCES (or "CAUSES") set/event B, on a scale from 0 to 1.

    2. P(B given A), Conditional Probability, gives a "relative measure" of the probability of B when A is FIXED or UNCHANGING or HAS OCCURRED.

    Probability/statistics mathematicians are careful to explain that 2 above is not a CAUSAL measure or relative measure, but in fact they use it in causal contexts under a type of myth which I will summarize as:

    3. This is the myth that one can obtain the INFLUENCE or CAUSE of B by A through listing all expressions of form P(B given A) for all possible fixed (constant) values of A.

    Aside from the fact that there is no proof of item 3 above, it would take an infinite time to list all possible fixed (constant) values of A when A is discrete but has infinitely many values (for example, with the binomial distribution, the Bernoulli distribution, the hypergeometric distribution, the geometric distribution, and so on). An example of discrete quantities with infinitely many values is 0, 1, 2, 3, 4, 5, .... where the dots ( . ) indicate "and so on in the same pattern".

    But one might object that it is more important to know the probability of a particular event happening in games "given" that another event has happened, than it is to know the probability that one event or variable CAUSES another event or variable. This is another illusion. It is similar to saying that it is more important to know which way an ant should move in the next step than it is to know WHY an ant is moving at all and what caused the ant to move.

    But again, one might object: is not prediction what science is all about? This objection has been raised against string and superstring theories in physics. But they or their generalizations brane/M theory remain one of the basic alternatives in quantum gravity. Moreover, the question contains a hidden flaw: the predictions involving games such as cards, dice, checkers, chess, are "trivial" in the sense of being super-mechanistic by counting numbers rather than the way in which the physical Universe actually mostly operates. The physical Universe mostly operates by things or events or processes INFLUENCING each other, so that it is the combination of FINDING THE CAUSE AND PREDICTING rather than merely predicting which is key. This leads us to the differences between Causation and Correlation, but that is a topic for another time.

    Osher Doctorow

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  2. Excellent points, Doctorow.

    Yes, Grice seems to be playing with all that. To the 'quiz' scenario, he is ADDING a sort of 'scientific' scenario. NOte that he expresses his 'paradox' on p. 79 by means of a question:

    They played one of the 100 games last night [with the 8/9, 1/2 and 9/10 probabilities for some odd conditions]. What is to be done?

    ----

    Here, the conditions have been observed. It is not claimed that one 'caused' the other. A good thing about Grice's 'paradox' is that it aims at isolating this merely truth-functional reading of 'if' as horseshoe.

    protasis -----------apodosis
    1)Player A has white-Player A wins.p = 8/9
    2)Player A loses ----Player A has black.p = 1/2

    The third probability relates to a disjunction (or 'wedge') that can be read as an 'if'
    3.Player A doesn't have white or wins.p = 9/10

    --- The 'special conditions' again do not amount to any sort of causal factor. They merely are that (i) There are no draws, and (ii) Player A has white 9 out of 10 times.

    The 'stater' of the 'paradox' has information about the 100 games which have been played 'to date'. Viz. -- and this information which yields the probabilities for (1), (2), and (3) above.

    Grice states the paradox as being an alleged reductio of absurdum of 'the law of contraposition': 'if p, q' iff 'if ~q, ~p', which yields probabilities 8/9, 1/2 and 9/10 for (1),(2),and (3).

    Yet, we are NOT to 'abandon' (Grice's term) the law of contraposition. Rather:

    "the problem is solved if we sssume that 'if p, q' is naturally adapted for ... a possible employment in modus ponendo ponens"

    --- indeed the introduction of the horseshoe.

    For (1):

    "We, then, think what background ['information'] we would use if, given the second premise -- [Player A ha[d] white] --." ...

    For (2):

    "Similarly, if we were asked the PROBABILITY that if [Player A [did] not win, he [did] not have white." ... "IF we take this question [about the probability of the outcome] to
    'look forward' the possession of ['information'] that [Player A] [did] not win, we consider only what was the case when [Player A] [did] not win (as regards his having white OR black) and ignore [or disregard. JLS] cases in which [Player A] [wins]."

    Grice adds a final point regarding (3) as being different:

    For (3):

    "IF we are asked the probability that he either [did] not have white or [won], there is NO direction (pointering) to modus ponendo ponens, so we [have to] consider [boringly] the whole series of games which were either ones in which [Player A] ha[d] black or ones in which [he won]."

    ReplyDelete