Research And Implementation Of Information Agent Adaptability

At present,Software Agent technology has already been widely used in each field,especially the application in WWW online information retrieval,e-commerce,network management,etc..This has put forward higher request to adaptability of Agent.It is one of the main characteristics of Agent system that adaptability weighs some software system.How to let Agent find necessary information more effective,more accurately,filter to and classfy them,carry on reasoning according to the knowledge that Agent oneself has,then plan to take action and carry out according to the policy,which is the key to calculating that could be successful.All these require Agent has strong adaptive capacity. So we designed and realized a information Agent system based on BDI model,it can calculate the goal according to what users defined,go to adapt to Internet environment independently,constant study,then find and classify the information drawn from WWW server file.The system integrated SOM neural network ,hereditary algorithm and algorithms of filtering niformation.Thus the agent has more intelligent and better learning abilityis. Information Agent system structure includes the following modules: User's interface is used to accept user's information and output information to users. Communication interface is used for communicating with other software Agents. The perceiving module carries on filtering and classify the information. The reasoning module carries on reasoning to information according to agent's knowledge. The decision module appraises the reasoning result and makes policy. The planning module makes the action plan according to above policy. The carrying module takes action according to schedule. The knowledge base supports to reasoning,decision,plan,etc.. User interface Agent adopts SOM neural network to study user's partiality in the information Agent system,and the network realizes mapping from document vector to system's output,then the network will know user's different goals from different vectors,so distinguished the user's different goals.We introduced the hereditary algorithm in the searching Agent and helped users look for potential information. This paper based on "pipeline information service platform of oil gas",proposed making use of "Information Agent System"to improve searching intelligent.In the course of developing the project,we realized document database,knowledge base and network spider,etc.applications,then strengthen dynamic adaptive capacity with studying by oneself.All these methods have made better results and the defect exists,but solved personalized problem and raised the recall ratio and precision ratio.