Scheduling and Tasking of Autonomous Systems for Collaborative Missions

This paper describes the GALILEO Decision Aid Artificial Intelligence (AI) agent, an intelligent agent developed under the Defence Science and Technology Laboratory (Dstl)’s Intelligent Ship Project, which aims at enhancing the command team’s cognitive ability to understand a rapidly changing operational environment and decide the appropriate Course of Action (CoA). Given high level operational tasking orders, GALILEO builds concrete mission plans that optimally allocate available resources to mission tasks. This work discusses the two-level optimisation that was developed to goal-decompose complex commands into actionable tasks that can be sent to human operators or other autonomous agents (or any combination of the two) for execution. Initial results are provided from deploying the agent with operators at Dstl’s Command Lab.