TY - GEN
T1 - Predicting the performance of IDA* with conditional distributions
AU - Zahavi, Uzi
AU - Felner, Ariel
AU - Burch, Neil
AU - Holte, Robert C.
PY - 2008
Y1 - 2008
N2 - (Korf, Reid, and Edelkamp 2001) introduced a formula to predict the number of nodes IDAM× will expand given the static distribution of heuristic values. Their formula proved to be very accurate but it is only accurate under the following limitations: (1) the heuristic must be consistent; (2) the prediction is for a large random sample of start states (or for large thresholds). In this paper we generalize the static distribution to a conditional distribution of heuristic values. We then propose a new formula for predicting the performance of IDA× that works well for inconsistent heuristics (Zahavi et al. 2007) and for any set of start states, not just a random sample. We also show how the formula can be enhanced to work well for single start states. Experimental results demonstrate the accuracy of our method in all these situations.
AB - (Korf, Reid, and Edelkamp 2001) introduced a formula to predict the number of nodes IDAM× will expand given the static distribution of heuristic values. Their formula proved to be very accurate but it is only accurate under the following limitations: (1) the heuristic must be consistent; (2) the prediction is for a large random sample of start states (or for large thresholds). In this paper we generalize the static distribution to a conditional distribution of heuristic values. We then propose a new formula for predicting the performance of IDA× that works well for inconsistent heuristics (Zahavi et al. 2007) and for any set of start states, not just a random sample. We also show how the formula can be enhanced to work well for single start states. Experimental results demonstrate the accuracy of our method in all these situations.
UR - http://www.scopus.com/inward/record.url?scp=57749171527&partnerID=8YFLogxK
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AN - SCOPUS:57749171527
SN - 9781577353683
T3 - Proceedings of the National Conference on Artificial Intelligence
SP - 381
EP - 386
BT - AAAI-08/IAAI-08 Proceedings - 23rd AAAI Conference on Artificial Intelligence and the 20th Innovative Applications of Artificial Intelligence Conference
T2 - 23rd AAAI Conference on Artificial Intelligence and the 20th Innovative Applications of Artificial Intelligence Conference, AAAI-08/IAAI-08
Y2 - 13 July 2008 through 17 July 2008
ER -