Implicit meta-learning to control belief updating (#27744)

HIGHLIGHTS

• who: from the (UNIVERSITY) have published the paper: Implicit meta-learning to control belief updating (#27744), in the Journal: (JOURNAL)

SUMMARY

Specifically, they will update faster for smaller than for larger changes in a "random walk" (RW) condition where large changes tend to represent meaningless outliers, and will update faster for larger than for smaller changes in a "change point" (CP) condition where large changes tend to represent true change points. The authors also hypothesize that they will learn to do this over time, and that learning will be asymmetric: participants will behave . . .

 



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