Stochastic dynamic programming is a useful tool in understanding decision making under uncertainty. The accumulation of capital stock under uncertainty is one example; often it is used by resource economists to analyze [[BioeconomicsNicholas Georgescu-Roegen#Man.27s economic struggle and the social evolution of mankind .28bioeconomics.29|bioeconomic problems]]{{disambiguation needed|date=October 2016}}<ref>Howitt, R., Msangi, S., Reynaud, A and K. Knapp. 2002. [http://www.agecon.ucdavis.edu/aredepart/facultydocs/Howitt/Polyapprox3a.pdf "Using Polynomial Approximations to Solve Stochastic Dynamic Programming Problems: or A "Betty Crocker " Approach to SDP."] University of California, Davis, Department of Agricultural and Resource Economics Working Paper.</ref> where the uncertainty enters in such as weather, etc.