Use when the user faces a decision with uncertain outcomes and wants the choice that maximizes expected value, or asks to map options and chance events into a decision tree and solve it. Frames the root decision, its later choices, and the chance events into one tree, fans out parallel subagents to
Use when the user faces a decision with uncertain outcomes and wants the choice that maximizes expected value, or asks to map options and chance events into a decision tree and solve it. Frames the root decision, its later choices, and the chance events into one tree, fans out parallel subagents to estimate each branch's probabilities and payoffs, then folds back (expected value at chance nodes, b