scholarly journals Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory

2004 ◽  
Vol 32 (4) ◽  
pp. 1367-1433 ◽  
Author(s):  
Peter D. Grünwald ◽  
A. Philip Dawid
Keyword(s):  
Game Theory ◽  
Decision Theory ◽  
Maximum Entropy ◽  
Bayesian Decision Theory ◽  
Bayesian Decision ◽  
Minimum Discrepancy

Representation, abstraction, and simple-minded sophisticates

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan
Keyword(s):  
Decision Theory ◽  
Predictive Coding ◽  
Bayesian Decision Theory ◽  
Bayesian Decision ◽  
Model Based ◽  
Model Free

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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