The value of feedback in the agricultural decision-making process was
determined by comparison between open and closed loop optimization mod
els under different conditions of risk aversion. An optimization via s
imulation of expected utility with dynamic stochastic constraints is d
etermined using a mathematical programming routine. As a test case, sh
rimp aquaculture in South Texas is described by a system of stochastic
non-linear differential equations. Results show that value of feedbac
k depends on the level of risk aversion of the decision maker. Copyrig
ht (C) 1996 Published by Elsevier Science Ltd