A Domain Independent Framework for Developing Knowledge Based Computer Generated Forces

Computer Generated Forces (CGFs) are important players in Distributed Interactive Simulation (DIS) exercises. A problem with CGFs is that they do not exhibit sufficient human behaviors to make their use effective. The SOAR approach has yielded a human cognitive model that can be applied to CGFs, but this is extremely complex. The product of the research reported in this thesis is a much less complex behavioral framework for a CGF that is easy to validate, revise, and maintain. To support this, an existing, domain independent CGF architecture is discussed and applied to an experimental CGF. Techniques for modeling the knowledge and behaviors of any CGF via semantic nets are presented. A process for transforming the semantic nets into fuzzy controllers is outlined, and pertinent issues regarding fuzzy controllers are discussed. Lastly, a method for making time critical decisions via fuzzy logic is presented

IMMACCS: A Multi-Agent Decision-Support System

This report describes work performed by the Collaborative Agent Design Research Center for the US Marine Corps Warfighting Laboratory (MCWL), on the IMMACCS experimental decision-support system. IMMACCS (Integrated Marine Multi-Agent Command and Control System) incorporates three fundamental concepts that distinguish it from existing (i.e., legacy) command and control applications. First, it is a collaborative system in which computer-based agents assist human operators by monitoring, analyzing, and reasoning about events in near real-time. Second, IMMACCS includes an ontological model of the battlespace that represents the behavioral characteristics and relationships among real world entities such as friendly and enemy assets, infrastructure objects (e.g., buildings, roads, and rivers), and abstract notions. This object model provides the essential common language that binds all IMMACCS components into an integrated and adaptive decision-support system. Third, IMMACCS provides no ready made solutions that may not be applicable to the problems that will occur in the real world. Instead, the agents represent a powerful set of tools that together with the human operators can adjust themselves to the problem situations that cannot be predicted in advance. In this respect, IMMACCS is an adaptive command and control system that supports planning, execution and training functions concurrently. The report describes the nature and functional requirements of military command and control, the architectural features of IMMACCS that are designed to support these operational requirements, the capabilities of the tools (i.e., agents) that IMMACCS offers its users, and the manner in which these tools can be applied. Finally, the performance of IMMACCS during the Urban Warrior Advanced Warfighting Experiment held in California in March, 1999, is discussed from an operational viewpoint

Applying Model-Based Data Engineering to Evaluate the Alignment of Information Modeled Within JC3IEDM, MSDL, and MATREX-FOM

The need for a common representation of entities and their relations to support the easier composition and federation of independently developed solutions in support of the user has been identified and addressed in several papers presented during recent simulation interoperability workshop. One of the underlying assumptions is that standards derived from the same conceptual domain can easily be converted into each others, as they deal with the same concepts. In a project conducted for the U.S. Army’s Program Executive Office (PEO) Soldier, three of such solutions for military operations (with focus on the land forces) were utilized to capture the underlying concepts of land warfare: the Joint Consultation, Command and Control Information Exchange Data Model (JC3IEDM), the Military Scenario Description Language (MSDL), and the Modeling Architecture for Technology, Research, and Experimentation (MATREX) Federation Object Model (FOM). When we applied the methods of Model-based Data Engineering (MBDE) we observed, that these three standards are not conceptually as well aligned as we assumed. We identified several significant gaps. The findings of this paper will contribute to support designers, engineers and project managers in a better way to understand, (1) which data are needed operationally, (2) how gaps can be identified regarding supporting standards, (3) how the gaps can be closed, and (4) what data transformation must be conducted when dealing with different standards in data-rich integration projects to ensure cost-efficient and operationally effective solutions

Extended MAGTF operations - tactical chat

Naval Research Program ProjectThe relatively new MV-22 Osprey has significantly extended the range Marine Air-Ground Task Force (MAGTF) forces can deploy under the cover of a single period of darkness. Unfortunately, this extended range has strained the effectiveness and reliability of the MAGTF's communications capabilities. The purpose of this thesis is to provide a proof of concept for an economical, easily manufactured, reliable, low bandwidth, communications system capable of passing data over hundreds of kilometers through vertical terrain. In the course of this study, a successful communications system is created, utilizing COTS radios and hardware to circumvent vertical obstructions. Digital text messages are successfully transmitted through an analog radio signal over a distance of 170 miles. The transmissions pass through a relay radio attached to a high-altitude balloon. The system proves sufficiently speedy and reliable despite utilizing disparate end-point radios. This thesis successfully demonstrates the potential this system has to extend United States Marine Corps communications. Further research should focus on the system's capability over a larger range and the effects of system configuration settings on transmission speed and reliability.http://archive.org/details/extendedmagtfope1094553052Lieutenant, United States Coast GuardApproved for public release; distribution is unlimited

Improving the Analyst and Decision-Maker’s Perspective through Uncertainty Visualization

This thesis constructs the Taxonomy of Uncertainty and an approach for enhancing the information in decision support systems. The hierarchical categorization of numerous causes for uncertainty defines the taxonomy, which fostered the development of a technique for visualizing uncertainty. This technique is fundamental to expressing the multi-dimensional uncertainty that can be associated with any object. By including and intuitively expressing uncertainty, the approach facilitates and enhances intuition and decision-making without undue information overload. The resulting approach for enhancing the information involves recording uncertainty, identifying the relevant items, computing and visualizing uncertainty, and providing interaction with the selection of uncertainty. A prototype embodying this approach to enhancing information by including uncertainty was used to validate these efforts. Evaluation responses of a small sample space support the thesis that the decision-maker\u27s knowledge is enhanced with enlightening information afforded by including and visualizing uncertainty, which can improve the decision-making process. Although the concept was initially conceived to help decision support system users deal with uncertainty, this methodology and these ideas can be applied to any problem where objects with many potential reasons for uncertainty are the focus of the decision-making

SUPPORTING MISSION PLANNING WITH A PERSISTENT AUGMENTED ENVIRONMENT

Includes supplementary materialIncludes Supplementary MaterialThe Department of the Navy relies on current naval practices such as briefs, chat, and voice reports to provide an overall operational assessment of the fleet. That includes the cyber domain, or battlespace, depicting a single snapshot of a ship’s network equipment and service statuses. However, the information can be outdated and inaccurate, creating confusion among decision-makers in understanding the service and availability of equipment in the cyber domain. We examine the ability of a persistent augmented environment (PAE) and 3D visualization to support communications and cyber network operations, reporting, and resource management decision-making. We designed and developed a PAE prototype and tested the usability of its interface. Our study examined users’ comprehension of 3D visualization of the naval cyber battlespace onboard multiple ships and evaluated the PAE’s ability to assist in effective mission planning at the tactical level. The results are highly encouraging: the participants were able to complete their tasks successfully. They found the interface easy to understand and operate, and the prototype was characterized as a valuable alternative to their current practices. Our research provides close insights into the feasibility and effectiveness of the novel form of data representation and its capability to support faster and improved situational awareness and decision-making in a complex operational technology (OT) environment between diverse communities.Lieutenant, United States NavyLieutenant, United States NavyApproved for public release. Distribution is unlimited

Project report : Requirements specification

The SAMRISK project “Sharing incident and threat information for common situational understanding“ (INSITU) commenced in May 2019. The INSITU project develops solutions for establishing a common situational understanding in complex operations requiring collaboration between several agencies. This involves systematic analysis of existing information sources and defining the information elements that are critical to share in different phases of a crisis situation. In addition, the project will develop procedures and related tool support for efficient collection and integration of information. As part of this work, the project contributes to harmonisation of terminology across agencies to secure effective communication. A map-based interface for display of information from different digital map resources will be developed, as a basis for a common operational picture (COP). This solution will also support evaluation and learning from incidents and emergency exercises. Based on a review of related research, the report briefly summarises the state of the art for the areas focused in the project. Through interviews and discussions with emergency stakeholders, field observation during an exercise, and field visits at operations centres, current practice for information sharing and establishing a COP is analysed. Based on the expressed needs from the emergency stakeholders and our analysis of current practice, the report specifies a set of requirements for information sharing, harmonisation of terminology, use of common map resources, and technology support for evaluation and learning from incidents.publishedVersio

EXPLORING THE POTENTIAL OF A MACHINE TEAMMATE

Artificial intelligence has been in use for decades. It is already deployed in manned formations and will continue to be fielded to military units over the next several years. Current strategies and operational concepts call for increased use of artificial-intelligence capabilities across the defense enterprise—from senior leaders to the tactical edge. Unfortunately, artificial intelligence and the warriors that they support will not be compatible "out of the box." Simply bolting an artificial intelligence into teams of humans will not ensure success. The Department of Defense must pay careful attention to how it is deploying artificial intelligences alongside humans. This is especially true in teams where the structure of the team and the behaviors of its members can make or break performance. Because humans and machines work differently, teams should be designed to leverage the strengths of each partner. Team designs should account for the inherent strengths of the machine partner and use them to shore up human weaknesses. This study contributes to the body of knowledge by submitting novel conceptual models that capture the desired team behaviors of humans and machines when operating in human-machine teaming constructs. These models may inform the design of human-machine teams in ways that improve team performance and agility.NPS_Cruser, Monterey, CA 93943Outstanding ThesisMajor, United States Marine CorpsMajor, United States Marine CorpsApproved for public release. Distribution is unlimited