Computer Engineering Commons^™

Conceptual Requirements For Command And Control Languages, Andreas Tolk, Curtis L. Blais, Saikou Y. Diallo, Charles Turnitsa

Computational Modeling & Simulation Engineering Faculty Publications

The current Coalition Battle Management Language initiative (C-BML) will define a language to unambiguously exchange command and control information between systems. This paper introduces a categorization that may be used to guide the process of developing C-BML effectively by enumerating the conceptual requirements the authors have identified in model-based data engineering and process engineering based studies in various domains.

First, it is important to distinguish if application of the language will support the planning, execution, or observation phase of command and control. While C-BML already distinguishes between tasking and reporting, planning is a category with different requirements.

Second, the language …

Harmonizing Bml Approaches: Grammars And Data Models For A Bml Standard, Dietmar Kunde, Thomas Orichel, Andreas Tolk, Ulrich Schade, Michael R. Hieb

Computational Modeling & Simulation Engineering Faculty Publications

Battle Management Language (BML) is being developed as an open standard that unambiguously formalizes and specifies Command and Control information, including orders and reports built upon precise representations of tasks. BML is a language specification, based on doctrine and consistent with Coalition standards. The goal of BML is to enable and improve the interoperability in the C2 area, especially by enabling also the military communication with simulation systems and future robotic forces.

Although the need for BML is well documented, a SISO standard has still not been achieved. At present, there are two recommended approaches focusing on different aspects. In …

Utilizing Strategic Project Management Processes And The Nato Code Of Best Practice To Improve Management Of Experimentation Events, Andreas Tolk, Rafael E. Landaeta, Robert H. Kewley, Thomas T. Litwin

Computational Modeling & Simulation Engineering Faculty Publications

Systems engineering and project management are two core engineering management processes supported by core quantitative disciplines within engineering management problems. Traditional approaches to systems engineering focus on a single system being engineered and managed (i.e., project managed), while challenges addressing composition of systems of systems and the reuse of systems for new solutions require a strategic management approach that promote a process flow in which the outputs of one project (e.g., deliverables, knowledge, work documents) are captured for the benefit of other projects within and outside the project-based organization. Two other core processes of engineering management are therefore critical to …

Exploring Primitives Of Meaning In Support Of Interoperability, Charles D. Turnitsa, Andreas Tolk, Robert Kewley

Computational Modeling & Simulation Engineering Faculty Publications

Semantic mismatch between systems is due, in part, to the grouping together of terms who have defined meaning in different levels of granularity, and which are composed together into different groupings by distinct systems. It has been proposed that making use of elemental concepts (referred to here as primitives of meaning) can assist in interoperability, but seeking to define all terms at a level of granularity equal to or greater than that of all involved systems.

By decomposing a system’s groups of composed terms into primitives of meaning, the building blocks that can be reassembled into the compositions required by …

An Extended Interoperability Framework For Joint Composability, Andreas Tolk, Charles D. Turnitsa

Computational Modeling & Simulation Engineering Faculty Publications

Interoperation of systems is defined by the aspects of integratability, interoperability, and composability. It is therefore needed, to address all levels of interoperation - from conceptual models via implemented systems to the supported infrastructure - accordingly in an interoperation framework.

Several candidates are available and provide valuable part solution. This paper evaluates the Base Object Models (BOMs), Discrete Event Simulation Specifications (DEVS), Unified Language Model (UML) artifacts as used within the Test and Training Enabling Architecture (TENA), the Object-Process Methodology (OPM), and Conceptual Graphs (CG) regarding their contribution.

Using the Levels of Conceptual Interoperability Model (LCIM), an extended interoperability framework …

Applying Model-Based Data Engineering To Evaluate The Alignment Of Information Modeled Within Jc3iedm, Msdl, And Matrex-Fom, Anil Ustun, Andreas Tolk, Saikou Diallo

Computational Modeling & Simulation Engineering Faculty Publications

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 …

C2 Domain Ontology Within Our Lifetime, Leslie Winters, Andreas Tolk

Computational Modeling & Simulation Engineering Faculty Publications

Agile Command and Control (C2) requires agile information sharing with an increasingly wide variety of military and non-military partners. While current net-centric approaches may improve information sharing within a particular niche of C2, they do not support information sharing across the larger C2 domain. Although not a silver bullet, the development and application of a C2 domain ontology to improve C2 data and service integration appears to be increasingly realistic. In fact, there are several examples of successful ontology applications in domains such as medicine, biology, and engineering, and the new discipline of Applied Ontology is emerging. C2 data, architecture, …