التفاصيل البيبلوغرافية
| العنوان: |
Dynamic Programming and Learning Models for Management of a Nonnative Species |
| المؤلفون: |
Mark Eiswerth, G. Cornelis van Kooten, Jeff Lines, Alison Eagle |
| المصدر: |
University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group, Working Papers. |
| الوصف: |
Nonnative invasive species result in sizeable economic damages and expensive control costs. Because dynamic optimization models break down if controls depend in complex ways on past controls, non-uniform or scale-dependent spatial attributes, etc., decision support systems that allow learning may be preferred. We compare three models of an invasive weed in California’s grazing lands: (1) a stochastic dynamic programming model, (2) a reinforcement-based, experience-weighted attraction (EWA) learning model, and (3) an EWA model that also includes stochastic forage growth and penalties for repeated application of environmentally harmful control techniques. Results indicate that EWA learning models may be appropriate for invasive species management. |
| Original Identifier: |
2005-07 |
| نوع الوثيقة: |
redif-paper |
| اللغة: |
English |
| الإتاحة: |
https://ideas.repec.org/p/rep/wpaper/2005-07.html |
| رقم الأكسشن: |
edsrep.p.rep.wpaper.2005.07 |
| قاعدة البيانات: |
RePEc |
