Automatic evaluation and selection of problem-solving methods: theory and experiments
Eugene Fink · Journal of Experimental & Theoretical Artificial Intelligence · 2004
Choosing the right problem-solving method from available methods is a crucial skill for experts in many areas. We present a technique for automatic selection among methods based on analysis of their past performances. We formalize the statistical problem involved in choosing an efficient method, derive a solution to this problem, and describe a selection algorithm. The algorithm not only chooses among available methods, but also decides when to abandon the chosen method if it takes too much time.