中文摘要：

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，提出一种复杂自适应搜索模型．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．

英文摘要：

The Intcrnet has the characteristics of complex adaptive system. A new complex openness, hierarchy, evolution and mass, so it is a typical 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.