Agriculture and forestry economy decision support system based on agent

Abstract

In this paper, we focus on the common problems of current information analysis and support decision systems in agricultural and forestry economies, such as frequent manual interventions, lack of cooperation among sub-systems, lack of support from distributed computing and group decision making. This research aims to resolve these problems by rebuilding the system with agent technology, and a prototype of the agricultural and forestry economy decision support system (AFEDSS) based on agent is designed and implemented. The AFEDSS is composed of interface agent, management agent, model agent, forecast agent, assistant decision agent, data management agent. The results show that the new system can simulate and deal with the complex processes of agricultural and forestry economies in reasonably short computational times and with less subjective uncertainty. This paper also discusses the decision processes and internal mechanisms in AFEDSS especially on cooperating with dynamic analysis, evaluation, forecast and optimisation. © 2007 Taylor & Francis Group, LLC.