%0 Report %@ 256 %A Farley, Arthur M. %T A Probabilistic Model For Uncertain Problem Solving %C 333 Ravenswood Ave., Menlo Park, CA 94025 %I AI Center, SRI International %D 1981 %K Reasoning!Probabilistic %X With growing interest in the application of research to problems that arise in real-world contexts, issues raised by consideration of uncertain states and unreliable operators are receiving increased attention in artificial intelligence research. In this paper, a model is presented for dealing with such concerns. The model is a probabilistic generalization of the familiar notion of problem space. The specification of uncertain states and unreliable operators is discussed. Problem-solving search methods are described. The need for information gathering is established. Search methods are generalized to produce tree-structured plans incorporating the use of such operators. Several application domains for our model are discussed. %U http://www.ai.sri.com/pubs/files/683.pdf
