[EMAIL PROTECTED] wrote: > Consider the following line of reasoning. Let p be the proposition > "Ronald was born in New York." From p, we can infer q: Ronald was born > in the United States. From q, we can infer r: It is possible that > Ronald was born in New Jersey. On the other hand, from p we can infer > s: It is not possible that Ronald was born in New Jersey. We have > arrived at a contradiction. What is wrong?
There is no paradox if you use probability theory as extended logic to analyze the situation. Let X represent our background information (understanding of spatial relationships and U.S. geography), and let's analyze the above. 1. "From p, we can infer q..." That is, our background information X tells us that (p => q) is true. In symbols, P(p => q | X) = 1, and hence P(q | p, X) = 1. 2. "From q, we can infer r: It is possible that Ronald was born in New Jersey." That is, P(r1 | q, X) > 0, where r1 is "Ronald was born in New Jersey". 3. "On the other hand, from p we can infer s: It is not possible that Ronald was born in New Jersey." That is, P(r1 | p, X) = 0. 4. "We have arrived at a contradiction." You have, but we Bayesians have not. There is no rule in probability theory that allows one to conclude P(r1 | p, X) > 0 from P(r1 | q, X) > 0 and P(q | p, X) = 1. You appear to be using some form of modus ponens in constructing your paradox, but modus ponens doesn't generalize to probabilities; the closest we can get is P(r1 | p, X) = { since (p => q) is known to be true } P(r1 and q | p, X) = { product rule } P(q | p, X) * P(r1 | q, p, X) = { since (p => q) is known to be true } P(r1 | q, p, X) To get the paradox we would have to conclude P(r1 | q, p, X) > 0 from P(r1 | q, X) > 0, but probability theory, quite sensibly, does not allow this: it is easy to find cases where new information (p, in this case) should turn a possibility into an impossibility. In a sense, what is happening in the proposed paradox is that important context is being dropped; this does not happen with probability theory because the product rule ensures that contextual information is retained. -- Kevin S. Van Horn _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai