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9 An Example Model - Utility Learning Agents

9.2 Formal Structure


Each agent has a fixed number of internal models from which it chooses the best model according to the minimum error of past data against what they would have predicted.

The action is determined by a limited binary search for the spending pattern that the model predicts will return the best utility. The cost of action inference is thus represented by the number of binary search refinements.


Modelling Learning as Modelling - 23 FEB 98
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