Fig. 10. Dynamic decision making under uncertainty. Sequential decisions (D_t) are made subject to observations on the resource system state (X_t) and information (Info_t). Subsequent comparisons of realized system states (X_t+1) to predictions under alternative models (X*_t+1 and X**_t+1) are used with Bayes' Theorem to update model belief (Info_t+1) for use in next round of decision making (D_t+1). M stands for model, and u for value or utility.