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The  Epistemic  Paradigm                   99

        is  used  in  mathematics.  Another  sort  of  related conditional  is the  strong  map
        conditional,  denoted  by Xdata(S) ^ X*.  which  is, by definition,  true  if and
        only  if  the Xdatatf)  ~» X fc  's  necessarily  true.
            In terms  of  the  complementarity  concept  (discussed in  Chapter  2,  p. 59),
        one  can  say that  a  material  conditional  holds  between  Xdata(^)  anc '  Xk  m
        all possible random field realizations when Xdata(S) ar"d ""Xfc is not tne case-
        In  other  words,  material  conditionally  holds  in  every  possible random  field
        realization  except  in  those  possible  realizations in  which  the  case  is X dato(5)
        and -* fc.
            The  conditional  probability  of  a  map is not  necessarily  the  probability  of
        its  material  conditional.  Whether  these two  are or  are not  equal may depend
        on the  knowledge base considered.  In particular, the  probability  of truth of  the
                                               e
        material  map  conditional  "x dato(5)  —> Xk  >"  i- ->



        is not necessarily equal to Prob §[x fc|Xdoto(5)].  Prob ff[x fc|Xdota(^)].  in other
        words,  is the  probability  that \ k occurs given that Xdoto(^)  does,  whether or
        not  Xdata(S)  S ave r se to  Xk'  an ^  whether or not there is any (probabilistic)
                         '
        subjunctive  connection  between Xk  anc ^  Xdata(<$)-  '*  can  be  shown that  the
        above  map  probabilities  are related by






        which  implies that  Prob§[x; fc|x data(5)] <  Prob s[ Xdata(S)  -> X k}-  However,
        in light  of  Equation  4.5 it  is valid that



        In other words, the meaning of Equation 4.20 is that, given that Xdata(S} has
        indeed  been  observed, the  probability  of  the  material  map conditional  is equal
        to  the conditional  probability  of the map.
            An  interesting  representation of the  analysis above is obtained in the con-
        text  of  map truth  tables.  It  is instructive  to  illustrate  this  representation by
        means of the  following  example.
        EXAMPLE   4.6:  Consider  the  map truth  tables  shown  in  Figure  4.2.  Given
         §,  the  Probg  of  the  material  map conditional  Xdato(^)  ~*  Xk  includes all
        three  realizations (x^aC^), X fe), (^X^S), xj, and  (->X data(S), -xj of
        the truth table  in  Figure 4.2a.  On the other  hand, the Abased Prob^ includes
        only  the  realization  (Xdota(^)> X/t)  °f  Figure 4.2b (i.e.,  from  the  probabilistic
        logic viewpoint,  if  we select a world  at  random  according to  Prob^, the  latter
        gives  the  probability  that  we  selected a  world  in  which  both  Xdata(^)  ^d
        X fc  occur).  Note  that  nothing  is written  into  the  conditional  map probability
        XfclXdato(^)  column when -x data(S)  is considered (Fig.  4.2a).
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