In a previous paper (Suppes and Zanotti, 1976) we gave simple necessary and sufficient qualitative axioms for the existence of a unique expectation function for the set of extended indicator functions. As we defined this set of functions earlier, it is the closure of the set of indicator functions of events under function addition. In the present paper we extend the same approach to conditional probability. One of the more troublesome aspects of the qualitative theory of conditional probability is that A [ B is not an object in particular it is not a new event composed somehow from events A and B. Thus the qualitative theory rests on a quaternary relation A [ B 2 CI D, which is read: event A given event B is at least as probable as event C given event D. There have been a number of attempts to axiomatize this quaternary relation (Koopman, 1940a, 1940b; Aczel, 1961, 1966, p. 319; Luce, 1968; Domotor, 1969; Krantz et al., 1971; and Suppes, 1973). The only one of these axiomatizations to address the problem of giving necessary and sufficient conditions is the work of Domotor, which approaches the subject in the finite case in a style similar to that of Scott (1964). By using indicator functions or, more generally, extended indicator functions, the difficulty of A I B not being an object is eliminated, for AZ IB is just the indicator function of the set A restricted to the set B, that is, AZ IB is a partial function whose domain is B. In similar fashion if X is an extended indicator function, X I A is that function restricted to the set A. The use of such partial functions requires care in formulating the algebra of functions in which we are interested, for functional addition X IA + Y [ B will not be well defined when A +B but A n B =t= 8. Thus, to be completely explicit we begin with a nonempty set Q, the probability space, and an algebra F of events, that is, subsets of Q, with it understood that 9 is closed under union and complementation. Next we extend this algebra to the algebra F* of extended indicator functions, that is, the smallest semigroup (under function addition) containing the indicator functions of all events in F. This latter algebra is now
[1]
Jaap Van Brakel,et al.
Foundations of measurement
,
1983
.
[2]
B. O. Koopman.
The bases of probability
,
1940
.
[3]
B. O. Koopman.
The Axioms and Algebra of Intuitive Probability
,
1940
.
[4]
J. Aczél,et al.
Lectures on Functional Equations and Their Applications
,
1968
.
[5]
Zoltan Domotor,et al.
Probabilistic relational structures and their applications
,
1969
.
[6]
Patrick Suppes,et al.
Necessary and sufficient conditions for existence of a unique measure strictly agreeing with a qualitative probability ordering
,
1976,
J. Philos. Log..
[7]
R. Luce.
On the Numerical Representation of Qualitative Conditional Probability
,
1968
.
[8]
Patrick Suppes,et al.
Logic, Methodology and Philosophy of Science IV, Proceedings of the Fourth International Congress for Logic, Methodology and Philosophy of Science, Bucharest, 1971
,
1975
.
[9]
Patrick Suppes,et al.
New Foundations of Objective Probability: Axioms for Propensities
,
1973
.
[10]
D. Scott.
Measurement structures and linear inequalities
,
1964
.