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BoundedRationality_TheAdaptiveToolbox.pdf

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58 Peter M. Todd<br />

One-reason Decision Mechanisms<br />

How well can simple decision heuristics perform when multiple pieces of information<br />

are available, and recognition cannot be used? The fastest and simplest<br />

of such heuristics would rely on just a single cue to make a decision — but can<br />

this possibly work? The answer turns out to be yes, so long as the cue to use is itself<br />

chosen properly. Imagine that we again have two objects to compare on<br />

some criterion, and several cues that could be used to assess each object on the<br />

criterion. A one-reason heuristic that makes decisions on the basis of a single cue<br />

could then work as follows (see Figure 4.1): (1) select a cue dimension and look<br />

for the corresponding cue values of each option; (2) compare the two options<br />

with regard to their values for that cue dimension; (3) if they differ, then stop and<br />

choose the option with the cue value indicating a greater value on the choice criterion;<br />

(4) if the options do not differ, then return to the beginning of this loop<br />

(step 1) to look for another cue dimension. Such a heuristic will often have to<br />

No<br />

Select a cue and check cue values of<br />

available alternatives<br />

Does cue discriminate<br />

between alternatives?<br />

Yes<br />

Decide on alternative indicated by<br />

current cue<br />

Figure 4.1 A flowchart of one-reason decision making: (1) a cue dimension is selected,<br />

and the corresponding cue values of each alternative are ascertained; (2) check whether<br />

the values for that cue dimension discriminate between the alternatives; (3) if so, then<br />

choose the indicated alternative; (4) if not, select another cue dimension and repeat this<br />

process. (Random choice can be used if no more cues are available.)

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