面向农业领域知识的自适应决策模型研究  

Self-adaptive Decision Model based on Agricultural Knowledge

作　　者：李娜[1] 邓寒冰[1] 朴在林[1] 谭东明[1] 杨萍[1] 刘君[2] 

机构地区：[1]沈阳农业大学信息与电气工程学院,沈阳110161 [2]国网辽宁省电力有限公司鞍山供电公司,辽宁鞍山114001

出　　处：《沈阳农业大学学报》2016年第4期505-512,共8页Journal of Shenyang Agricultural University

基　　金：辽宁省科学技术计划项目(2014104017);辽宁省教育厅一般项目(L2014272;L2014265)

摘　　要：随着信息技术的快速发展,农业知识和数据在互联网中呈现爆发式增长,如何实现农业信息的精准推送是农业信息化领域所面临的重要问题。为此,提出一种面向农业领域知识的自适应决策模型,设计了面向农业领域知识的思维决策模型AKDM(agriculture knowledge decision-making model),利用软件Agent主动采集网络环境中的知识信息,基于信息内容来推理、分析并导出结果,进而指导知识推送行为。结果表明:将农业本体知识转换成信念、愿望和意图集合,同时利用三者之间的决策推理关系指导知识推送行为,可以实现基于农业领域知识的自适应决策推理过程,且涉及的试验过程为实现农业信息的个性化智能推送提供了一个可行模型参考。With the rapid development of information technology, agricultural knowledge and data have seen explosive growth inthe internet. It has become a major problem facing the field of agricultural informatization to realize the precise pushing ofagricultural information. This paper proposes an agricultural knowledge-oriented self-adaption decision-making model, the AKDM（agriculture knowledge decision-making model）, which actively collects knowledge and information in the internet using Agentsoftware, and performs reasoning, analyzing and result delivering based on the information collected, and finally giving instructionson knowledge pushing. The result showed it was possible to realize the self-adaption decision-making with regard to agriculturalknowledge by converting agricultural knowledge into a cluster of faith, will and intention and guiding information pushingbehavior by the relations of decision-making and reasoning among them. Thus, the experiment in this paper provides a feasiblemodel for the intelligent personalized pushing of agricultural information.

关 键 词：AGENT 本体 农业知识建模 自适应决策 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]