Non-Bayesian decision theory ahead of its time: the case of G. L. S. Shackle

2014 ◽  
Vol 38 (5) ◽  
pp. 1133-1154 ◽  
Author(s):  
C. Zappia
2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.


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