Simulating Human Reasoning in Mine-Like Object Inspection Assignments for a Formation of Unmanned Underwater Vehicles

Abstract

The purpose of this paper is to use human reasoning as a model for mine counter measure operations of a fleet of unmanned underwater vehicles. Learning from the complexities involved in information processing in real life scenarios, decision making processes by a fleet of unmanned underwater vehicles can be extensively simplified by the introduction of language-centered intelligence (LCI). LCI uses the logic associated with operating the vehicle, including the logic used for processing language, to evaluate scenarios and make decisions. Implementation of LCI occurred in two steps: first, a centralized inspection planner for a decentralized fleet of unmanned underwater vehicles was implemented, followed by a look-ahead inspections module which uses the inspections planner and portrays the application of LCI in a mine search operation.