SBIR-STTR Award

There is an increasing need among military organizations for methodologies and algorithms that enhance realistic autonomous agent behavior in constructive modeling and simulation. Application and understanding of real-world elements will be essential in identifying the decisions to support and represent important factors such as METT-TC. This proposal provides a foundation for the development of methodologies and algorithms that will 1) improve scenario creation time and realism when implemented into constructive simulations and 2) serve as an analytical base for the development of useful decision support tools for small combat units.

Keywords:
Modeling And Simulation, Constructive Combat Simulation, Simulation Algorithm, Soldier Analysis, Decision Support Application, Agent Task Automation

There is an increasing need among military organizations for methodologies and algorithms that enhance realistic autonomous agent behavior in constructive modeling and simulation. Application and understanding of real-world elements will be essential in indentifying the decisions to support and represent important factors such as METT-TC. This proposal describes the research, development, and commercialization tasks required to achieve the following Phase II objectives: (1) design a formal knowledge model of battlespace Small Combat Unit (SCU) entities and relationships, expressed with symbolic logic; (2) develop methodologies for SCU decision making and behavior control that work with this formal knowledge model; (3) implement prototype software for intelligent agent behavior and integrate into an existing SCU constructive combat simulation; and (4) design a prototype for SCU command and Soldier decision support tools.

Keywords:
Modeling And Simulation, Constructive Combat Simulation, Simulation Algorithm, Soldier Analysis, Decision Support Application, Agent Task Automation