PALLC

PALLC / TECHNOLOGY

SI-augmented DEM&S ecosystem architecture.

One adaptively scalable, SI-augmented Digital Engineering, Modeling & Simulation (DEM&S) environment connects model development, simulation and mission assessment.

Requirements, engineering data and executable models share a digital thread. Defined interfaces and a DEVS engine coordinate model execution; computational physics and model reduction support prediction at the resolution required for the intended use. Verification and validation connect model implementation to its intended application.

  1. 01

    ModelShift

    Engineering prototype

    Connect engineering requirements and system models to executable analysis, change assessment and V&V.

  2. 02

    ZMS

    Research prototype

    Connect executable models, mission observations and participant decisions in a shared engineering and geospatial environment.

  3. 03

    ForceWeaver

    In development

    Develop SI-assisted exercise preparation from mission objectives to scenarios, execution and assessment.

KNOWLEDGE / MODEL COMPOSITION / SIMULATION

MetaSES-DEVS

Knowledge-to-Simulation Engine

MetaSES-DEVS architecture connects knowledge graphs and SI-assisted model development with Boolean, deterministic and stochastic model layers through DEVS Markov composition, explicit interfaces, event transitions and time advance.
Boolean, deterministic and stochastic model composition.

Developed with our partners at RTSync Corp., PALLC’s MetaSES-DEVS Knowledge-to-Simulation Engine brings knowledge graphs, SI-assisted model development, and heterogeneous simulation into a unified DEVS architecture. We connect requirements and ontology-defined relationships to Boolean model structures, deterministic component behavior, and stochastic representations of probability and time. DEVS Markov composition provides the mathematical foundation for expressing transition probabilities and their associated timing distributions through explicit component interfaces, event transitions, and time advance. This architecture supports reusable, traceable model composition across diverse engineering tools and simulators, giving customers a consistent foundation for mission engineering, acquisition analysis, advanced exercises, and wargaming—from individual components to complex systems of systems.

ENGINEERING CONTEXT

Engineering lifecycle CDAO evaluation frameworks OUSW(R&E) technology priorities

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