What do consequence nodes represent in a decision tree?

Consequence nodes in a decision tree serve to represent the outcomes or payoffs that result from a series of decisions and uncertainties. When following a path through the tree, these nodes indicate the end result of the decisions made and the various uncertain events that have transpired.

These nodes summarize the implications of earlier choices, leading to quantifiable results such as profits, losses, or other measurable outcomes that influence the overall decision-making process. It is at the consequence nodes that one can assess the value of the decisions made and the probabilities associated with different outcomes.

In contrast, the other elements in a decision tree fulfill different functions. Decision nodes are where choices are made, uncertain event nodes represent scenarios that could happen with varying likelihoods, and certain nodes lead to alternative decisions. Thus, consequence nodes stand apart as the points in the model that summarize the final results of the paths traced through the decision-making scenario.