Robert, Marion, Dury, Jérôme
, Thomas, Alban
, Therond, Olivier
, Sekhar, Muddu, Badiger, Shrinivas, Ruiz, Laurent and Bergez, Jacques Eric
(2016)
CMFDM: A methodology to guide the design of a conceptual model of farmers' decision-making processes.
Agricultural Systems, 148.
pp. 86-94.
Abstract
The agricultural research community offers languages and approaches to model farmers' decision-making processes but does not often clearly detail the steps necessary to build an agent model underlying farmers' decision-making processes. We propose an original and readily applicable methodology for modelers to guide data acquisition and analysis, incorporate expert knowledge, and conceptualize decision-making processes in farming systems using a software engineering language to support the development of the model. We propose a step-by-step approach that combines decision-making analysis with a modeling approach inspired by cognitive sciences and software-development methods. The methodology starts with case-based analysis to study and determine the complexity of decision-making processes and provide tools to obtain a generic and conceptual model of the decisional agent in the studied farming system. A generic farm representation and decision diagrams are obtained from cross-case analysis and are modeled with Unified Modeling Language. We applied the methodology to a research question on water management in an emerging country (India). Our methodology bridges the gap between field observations and the design of the decision model. It is a useful tool to guide modelers in building decision model in farming system.
Item Type: | Article |
---|---|
Language: | English |
Date: | October 2016 |
Refereed: | Yes |
Uncontrolled Keywords: | Decision modeling, Farming systems, Water management, Case-based analysis, Cognitive task analysis, UML |
Subjects: | B- ECONOMIE ET FINANCE |
Divisions: | TSE-R (Toulouse) |
Site: | UT1 |
Date Deposited: | 27 Oct 2016 08:23 |
Last Modified: | 02 Apr 2021 15:54 |
OAI Identifier: | oai:tse-fr.eu:31122 |
URI: | https://publications.ut-capitole.fr/id/eprint/22458 |