面向农业领域知识的自适应决策模型研究

发布时间：2018-05-14 20:31

本文选题：Agent + 本体　；参考：《沈阳农业大学学报》2016年04期

【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。
[Abstract]:With the rapid development of information technology, agricultural knowledge and data in the Internet show explosive growth, how to achieve the accurate push of agricultural information is an important problem in the field of agricultural information. In this paper, an adaptive decision-making model for agricultural domain knowledge is proposed, and a thinking decision model AKDM(agriculture knowledge decision-making model for agricultural domain knowledge is designed. The software Agent is used to actively collect the knowledge information in the network environment, and the reasoning is based on the information content. The results are analyzed and derived to guide the knowledge push behavior. The results show that the adaptive decision-making reasoning process based on agricultural domain knowledge can be realized by transforming agricultural ontology knowledge into belief, wish and intention set, and using the decision inference relationship between them to guide the knowledge push behavior. The experimental process involved provides a feasible model reference for the realization of personalized intelligent push of agricultural information.
【作者单位】：沈阳农业大学信息与电气工程学院;国网辽宁省电力有限公司鞍山供电公司;
【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)
【分类号】：S126

【相似文献】