TY - GEN
T1 - Cost based search considered harmful (extended abstract)
AU - Cushing, William
AU - Benton, J.
AU - Kambhampati, Subbarao
PY - 2010/12/1
Y1 - 2010/12/1
N2 - Planning research has returned to the issue of optimizing costs (rather than sizes) of plans. A prevalent perception, at least among non-experts in search, is that graph search for optimizing the size of paths generalizes more or less trivially to optimizing the cost of paths. While this kind of generalization is usually straightforward for graph theorems, graph algorithms are a different story. In particular, implementing a search evaluation function by substituting cost for size is a Bad Idea. Though experts have stated as much, cutting-edge practitioners are still learning of the consequences the hard way; here we mount a forceful indictment on the inherent dangers of cost-based search.1
AB - Planning research has returned to the issue of optimizing costs (rather than sizes) of plans. A prevalent perception, at least among non-experts in search, is that graph search for optimizing the size of paths generalizes more or less trivially to optimizing the cost of paths. While this kind of generalization is usually straightforward for graph theorems, graph algorithms are a different story. In particular, implementing a search evaluation function by substituting cost for size is a Bad Idea. Though experts have stated as much, cutting-edge practitioners are still learning of the consequences the hard way; here we mount a forceful indictment on the inherent dangers of cost-based search.1
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M3 - Conference contribution
AN - SCOPUS:84893413431
SN - 9781577354819
T3 - Proceedings of the 3rd Annual Symposium on Combinatorial Search, SoCS 2010
SP - 140
EP - 141
BT - Proceedings of the 3rd Annual Symposium on Combinatorial Search, SoCS 2010
T2 - 3rd International Symposium on Combinatorial Search, SoCS 2010
Y2 - 8 July 2010 through 10 July 2010
ER -