EconPapers    
Economics at your fingertips  
 

A Survey of Markov Decision Programming Techniques Applied to the Animal Replacement Problem

Anders Ringgaard Kristensen

European Review of Agricultural Economics, 1994, vol. 21, issue 1, 73-93

Abstract: The major difficulties of the animal replacement problem are identified as uniformity, herd restraints and the "curse of dimensionality". Approaches for circumventing these difficulties using Markov decision programming methods are systematically discussed, and possible optimisation techniques are described and evaluated. Assuming that the objective of the farmer is maximum net returns from the entire herd, relevant criteria of optimality are discussed. It is concluded that a Bayesian technique is a promising approach as concerns the uniformity problem, that parameter iteration may be used under herd restraints, and that hierarchic Markov processes have contributed to the solution of the dimensionality problem. Copyright 1994 by Oxford University Press.

Date: 1994
References: Add references at CitEc
Citations: View citations in EconPapers (6)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:erevae:v:21:y:1994:i:1:p:73-93

Ordering information: This journal article can be ordered from
https://academic.oup.com/journals

Access Statistics for this article

European Review of Agricultural Economics is currently edited by Timothy Richards, Salvatore Di Falco, Céline Nauges and Vincenzina Caputo

More articles in European Review of Agricultural Economics from Oxford University Press and the European Agricultural and Applied Economics Publications Foundation Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK. Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().

 
Page updated 2025-03-19
Handle: RePEc:oup:erevae:v:21:y:1994:i:1:p:73-93