Implementation of an intelligent personalized digital library system based on improved negotiation mobile multiagents

There are several problems in searching the database of an existing digital library. To overcome some problems, I propose a new platform of mobile multiagents for a personal digital library. To develop a new platform, I propose a distributed mobile multiagent framework (DMMAF) agent. For the higher relationships among searched documents from mobile servers, an unsupervized neural network is applied. For the user's preference, some modular clients are applied to a neural network. A multiagent platform and a mobile agent platform are combined to develop a new mobile multiagent platform so as to decrease the network burden. A new negotiation algorithm and a scheduling algorithm are also activated for the effectiveness of the personal digital library system (PDLS). PDLS is a more intelligent system capable of establishing a database in the computer by learning the interests of users. We tried to set up the theoretical structure of the multimobile agents, and develop an algorithm for a modified intelligent negotiation agent for inducing interaction among multiagents. This work was presented in part at the 11th International Symposium on Artificial Life and Robotics, Oita, Japan, January 23–25, 2006