By Mohammad Ali Bagheri, Qigang Gao, Sergio Escalera (auth.), Osmar R. Zaïane, Sandra Zilles (eds.)
This booklet constitutes the refereed complaints of the twenty fifth Canadian convention on man made Intelligence, Canadian AI 2012, held in Regina, SK, Canada, in may perhaps 2013. The 17 ordinary papers and 15 brief papers offered have been conscientiously reviewed and chosen from seventy three preliminary submissions and are observed by means of eight papers from the Graduate scholar Symposium that have been chosen from 14 submissions. The papers disguise a number of themes inside of AI, equivalent to: info extraction, wisdom illustration, seek, textual content mining, social networks, temporal associations.
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Extra info for Advances in Artificial Intelligence: 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Regina, SK, Canada, May 28-31, 2013. Proceedings
The ﬁrst is to derive conditions under which simple interactions between move pruning and duplicate detection, such as the one depicted in Figure 1, cannot possibly occur. ). Unfortunately, these conditions do not preclude more complex interactions from occurring. The second contribution of the paper is to derive conditions that must hold whenever there is a deleterious interaction between move pruning and duplicate detection. 1 Motivation The motivation for adding move pruning to a system that does duplicate detection is computational—move pruning is faster than duplicate detection.
Burch and Holte did not discuss whether it was safe to use their move pruning in conjunction with duplicate detection, but it was observed by Malte Helmert (personal communication) that it is not. Figure 1 shows the typical situation in which a problem arises. A and B are operators or operator sequences that are not redundant with each other in general, but happen to produce the same state, T , when applied to state S. AC and BC are the only two paths from S to U , and move pruning determines that AC is redundant with BC and decides to prohibit C from being applied after A.
For example, consider the potential ψ built by (6), which is already in evidence expanded form. By applying Lemma 1, p(h|g, j) · p(g|d, i) · p(c) · p(d|c). d (11) c By Lemma 2, ψ(g, h|i, j) = ψ(c, d, g, h|i, j), c d Thus, the potential ψ built by (6) is, in fact, a CPT ψ(g, h|i, j), in Table 2 (left). 5 Denoting Semantics The evidence expanded form F (ψ) of any potential ψ constructed by VE is in evidence normal form, if F (ψ) is written as γ · N, where γ is the product of 1 and all evidence potentials in F (ψ), and N is the same factorization as F (ψ) except without products involving evidence potentials.