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With the ingredients listed above, we finally arrive at the following algorithm [Pearl and Verma 1991a, Pearl 2000], which is very closely related to Algorithm 7.3.8 on page 248 (the first two steps are actually identical, the third is similar it only does not try to direct all edges). Algorithm 9.4.1 (Inductive Causation Algorithm) Input: A (sampled) distribution p over a set U of attributes. Output: A marked hybrid acyclic graph core(p). 1. For each pair of attributes A and B, search for a set SAB U {A, B}, so that A p B | SAB holds, that is, so that A and B are conditionally independent given SAB . If there is no such set SAB , connect the attributes by an undirected edge. 2. For each pair of nonadjacent attributes A and B with a common neighbor C (i.e. C is adjacent to A as well as to B), check whether C SAB . If it is not, direct the edges towards C, that is, let A C B. 3. Form core(p) (the identifiable part of the causal structure) by recursively directing edges according to the following two rules: If for two adjacent attributes A and B there is a strictly directed path from A to B not including the edge connecting A and B, then direct the edge towards B. If there are three attributes A, B, and C with A and B not adjacent, either A C or A C, and C B, then direct the edge C B. 4. For each triplet of attributes A, B, and C: If A and B are not adjacent, C B, and either A C or A C, then mark the edge C B.

48. Douglas M. Watson, Whom Do You Trust The White Paper (March/April 2002), 28. 49. Al Cameron, How to Stop Internet Credit Card Thieves, in Working Together to Reduce the

UGG met 13 times in 1998 as regular UGG meetings as follows: UGG#1 On 13 March in Brussels, hosted by Airtouch UGG#2 On 24 March in Sophia Antipolis, hosted by ETSI UGG#3 On 08 April in Brussels, hosted by Airtouch UGG#4 On 20 April in Sophia Antipolis, hosted by ETSI UGG#5 On 12 May in Brussels, hosted by Airtouch UGG#6 On 08 June in Sophia Antipolis, hosted by ETSI UGG#7 On 29 June in Frankfurt, hosted by ETSI UGG#8 On 28 July in London, hosted by DTI UGG#9 On 19 and 20 August in Brussels, hosted by Ericsson UGG#10 On 14 September in Munich, hosted by Siemens

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5.84 0.11 4.03 0.02

TABLE 2.5 Class Equiv_1 Equiv_2 Equiv_3 Equiv_4

Obviously these results are identical to those we obtained from projecting the slice of the relation RABC that corresponds to A = a4 to the attributes B and C. It is easily verified for this example that this propagation scheme always (that is, for all possible observations) leads to the same result as an inference based on the original three-dimensional relation. Therefore this propagation scheme justifies the network representation of the reasoning space shown in Figure 3.7 in which there is a node for each attribute and an edge for each projection used. This connection of decomposition and network representation is studied in more detail in 4.