CAJ | 학술논문

针对互联网开放性、层次性、演化性、巨量性等本质特性,从复杂自适应系统这一全新的角度,以农业垂直搜索为应用背景,提出一种复杂白适应搜索模型.该搜索模型的主要特点是通过建立信息采集、分类、清洗与服务智能体联盟,组成多智能体实验环境.通过建立模型的学习机制与进化机制,改善搜索模型对网络环境的动态适应能力.经过与现有主流搜索引擎的比较实验发现,它在查准率方面具有明显优势.同时,由于该搜索模型具备通用的结构体系,因而在建立其它行业的垂直搜索模型时,可被方便地移植使用.
침대호련망개방성、층차성、연화성、거량성등본질특성,종복잡자괄응계통저일전신적각도,이농업수직수색위응용배경,제출일충복잡백괄응수색모형.해수색모형적주요특점시통과건립신식채집、분류、청세여복무지능체련맹,조성다지능체실험배경.통과건립모형적학습궤제여진화궤제,개선수색모형대망락배경적동태괄응능력.경과여현유주류수색인경적비교실험발현,타재사준솔방면구유명현우세.동시,유우해수색모형구비통용적결구체계,인이재건립기타행업적수직수색모형시,가피방편지이식사용.
The Internet has the characteristics of openness, hierarchy, evolution and mass, so it is a typical complex adaptive system. A new complex adaptive search model is proposed based on the theory of complex adaptive system. A multi-agent experiment environment is formed through establishing the main union of information collection, classification, cleaning and services. The learning mechanism and evolutionary mechanism are researched, thus the search engine with the proposed model can actively adapt to the complex and dynamic network environment. Meanwhile, the proposed model can be widely used to construct special search models.