Motivated learning agent model for distributed collaborative systems

摘要

The paper develops and discusses a theoretical model for collaborative design systems based on motivated learning agents, however, with a novel self-development module to help the system improve itself. Self-Development Agent based on previous work is an intelligent agent, which not only receives information from sensors in the environment, but also gives valuable suggestions that could help to improve the system. Two case studies with different system setups are described in detail to help better understand this model. The theoretical model is not limited to the specific systems described in this paper, but could be adapted to other collaboration systems as well.