A multiagent design system with machine learning mechanism

This paper introduces the structure of a multiagent design system with machine learning mechanism and its application in mechanical design. First of all, it introduces a hierarchical structure of the multiagent design system and takes a mechanical design system as an example. This structure provide a computational platform for cooperative design and sharing learning of multiple design agents; Then it analyses the principle of design activity and puts forward the architecture and learning mechanism of a design agent in details. The architecture of a design agent is for providing support for learning activity, and it is based on the analysis for the design activity; This is followed by a description of the design knowledge base framework and sharing learning process of multiagent. The main advantages of the system is that complex design task can be done by multiagent in a distributed environment and learning results can be shared by a group of design agents. This system has partly been implemented in a Visual C ++ -based and Mechanical Desktop 2.0 environment.