What cognitive strategies diminish bias in decision-making beyond those outlined by Larrick? Larrick (2004; pdf) offers a small number of suggestions for strategies to diminish bias in decision making, which he breaks down into four categories. 


"Consider the opposite". Tell decision-makers to ask themselves "What are some reasons my initial judgment might be wrong?"
Training in rules. Teach statistical and logical principles to decision-makers, e.g. give them lessons on the law of large numbers and regression toward the mean.
Training in representations. Teach decision-makers to represent problems in ways that are likely to ameliorate biases.  For instance, encourage decision-makers to represent problems in terms of frequencies rather than probabilities, since evidence suggests people reason more accurately when thinking about the former than about the latter.
Training in biases. Larrick suggests that this boils down to seeing if teaching decision-makers behavioral decision theory has positive effects. Larrick implies that so far there is little evidence to suggest this method would work. 


Question:


What other plausible categories of cognitive strategies exist? 
What other strategies exist within the categories Larrick has defined?


References


Larrick, R.P. (2004). Debiasing. Blackwell handbook of judgment and decision making, , 316-338. PDF
One possible strategy is to phrase decision-making problems as questions in a foreign language. There's evidence that this attenuates at least certain kinds of cognitive bias (making you more rational and consistent) by distancing the cognitive and affective baggage that comes with the problem. See the following:

Keysar, B., Hayakawa, S.L., &amp; Sun, G.A. (2012). The Foreign-Language Effect: Thinking in a Foreign Tongue Reduces Decision Biases. Psychological Science, 23 (6), 661-668.