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arXiv · 1302.4981

A New Pruning Method for Solving Decision Trees and Game Trees

Prakash P. Shenoy
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Abstract

The main goal of this paper is to describe a new pruning method for solving decision trees and game trees. The pruning method for decision trees suggests a slight variant of decision trees that we call scenario trees. In scenario trees, we do not need a conditional probability for each edge emanating from a chance node. Instead, we require a joint probability for each path from the root node to a leaf node. We compare the pruning method to the traditional rollback method for decision trees and game trees. For problems that require Bayesian revision of probabilities, a scenario tree representation with the pruning method is more efficient than a decision tree representation with the rollback method. For game trees, the pruning method is more efficient than the rollback method.

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Prakash P. Shenoy. 2013-02-20. A New Pruning Method for Solving Decision Trees and Game Trees. https://arxiv.org/abs/1302.4981

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