Insights Obtained through Implementing Machine Learning Agents on Project Management Action Rules

Abstract

Recently progress on artificial intelligence technologies, especially machine learning is remarkable, and application of them into program and project management is expected. We have implemented the machine-learning agents which are able to learn project management action rules autonomously by controlling project behavior simulator, under the concept that ”project management could be modelled as a series of actions which are decided based on observed conditions and are directing control, in order to get closer to the target condition.” In this paper, we reformulate the machine learning agent on project management action rules, and address the insights obtained through implementation.