摘要
本文介绍一种基于多Agent框架的目标识别技术应用。根据Agent的自治、协作和分布特性,以及Agent的思维状态BDI模型,在Internet/Intranet环境下,设计和构造了多Agent框架MAF,包括MAF中的各Agent组成结构、各Agent间的协作和通信、Agent的知识表达和Agent计算等,提出了绘画式图像分割的策略。
This paper introduces an application of object recognition based on multi-agent framework. According to the characteristics of Agent being autonomous, cooperative and distributed, and having the thinking state model of BDT, a multi-agent frame （MAF） based on Internet/Intranet is designed. This paper introduces the architecture of each intelligent agent, cooperation between agents, knowledge expression and agent calculation. We also present a method of image drawing segmentation and problem solving strategy.
出处
《洛阳师范学院学报》
2009年第2期80-83,共4页
Journal of Luoyang Normal University
关键词
多AGENT
目标识别
图像分割
Multi agents
object recognition
image segmentation
