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p(x) = p(x).<br />

Thus the derivability of (f) from (d) and (e) remains unnoticed. Or<br />

in other words, it is not seen that the assumption (a) is completely<br />

redundant if we operate with an axiom system which contains, or<br />

implies, (d) and (e); and that by assuming (a), in addition to (d) and<br />

(e), we prevent ourselves from finding out what kind of relations are implied<br />

by our axioms or postulates. But to find this out is one of the main points of<br />

the axiomatic method.<br />

In consequence, it has also not been noticed that (d) and (e),<br />

although implying (f), i.e. an equation in terms of absolute probability,<br />

do not alone imply (g) and (h), which are the corresponding formulae<br />

in terms of relative probability:<br />

(g)<br />

(h)<br />

p((ab)c, d) = p(a(bc), d)<br />

p(a, (bc)d) = p(a, b(cd)).<br />

In order to derive these formulae (see appendix *v, (41) to (62)),<br />

much more is needed than (d) and (e); a fact which is of considerable<br />

interest from an axiomatic point of view.<br />

I have given this example in order to show that Kolmogorov fails to<br />

carry out his programme. The same holds for all other systems known<br />

to me. In my own systems of postulates for probability, all theorems of<br />

Boolean algebra can be deduced; and Boolean algebra, in its turn, can<br />

of course be interpreted in many ways: as an algebra of sets, or of<br />

predicates, or of statements (or propositions), etc.<br />

Another point of considerable importance is the problem of<br />

a ‘symmetrical’ system. As mentioned above, it is possible to define<br />

relative probability in terms of absolute probability by (d′), as follows:<br />

(d′)<br />

If p(b) ≠ 0 then p(a, b) = p(ab)/p(b).<br />

appendix *iv 333<br />

Now the antecedent ‘If p(b) ≠ 0’ is unavoidable here since division<br />

by 0 is not a defined operation. As a consequence, most formulae of relative<br />

probability can be asserted, in the customary systems, only in conditional<br />

form, analogous to (d′). For example, in most systems, (g) is

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