In this paper we propose a new method for generating test scenarios for black-box
autonomous systems that demonstrate critical transitions in performance modes. This …

This paper describes an intelligent autonomous airborne flight capability that is being used
as a test bed for future technology development. The unmanned air vehicles (UAVs) fly …

We present an analytic framework for modeling and measuring uncertainty for the scenario
of unmanned aerial vehicles (UAVs) cooperatively searching for a moving target …

A reusable agent-based generic model is presented for a specific class of Ambient
Intelligence pplications: those cases addressing human wellbeing and functioning from a …

Multi-Agent system has broad application in real world, whose security performance,
however, is barely considered. Reinforcement learning is one of the most important methods …

In this article, we discuss some techniques for achieving swarm intelligent robots through the
use of traits of personality. Traits of personality are characteristics of each robot that …

In this paper, a Collaborative Mission Planning, Autonomy and Control Technology
(CoMPACT) is presented for enhancing Unmanned Surface Vehicle (USV) capabilities in a …

We present a new parallel computation model that enables the design of resource-optimal
scalable parallel algorithms and simplifies their analysis. The model rests on the novel idea …

In this dissertation, I propose a software-in-the-loop testing architecture that uses adaptive
sampling to generate test suites for intelligent systems based upon identifying transitions in …

As Unmanned Maritime Systems (UMSs) become commonplace in the defense, industrial,
academic, and hobby domains, they will encounter unexpected endogenous and …