Frontier: Intelligent decision engine for stable adaptable complex systems

Frontier is a framework for a highly adaptable, stably reconfigurable, web-accessible intelligent decision engine developed to a) optimize the design of complex (particularly multi-asset or fractionated) systems, as well as b) simulate and operate systems distributed spatially and temporally in response to evolving needs and environments in support of the DARPA Tactical Technology Office (TTO) System F6 (Future, Fast, Flexible, Fractionated, Free-Flying) program. Innovatively and uniquely, Frontier is capable of absorbing and utilizing lessons learned and thus evolving from tool to tool user with tools via an adaptable framework utilizing an Intelligent Decision Engine (IDE) in a Web Support Environment (WSE). The IDE is based on a psychologically stable, trainable learning interface with an evolving Synthetic Neural System (SNS) consisting of Neural Basis Functions (NBFs) for the human user (via the Stakeholder Graphical User Interface (GUI)) and tool support (via the Modeling Support Environment (MSE)) interfaces. A specially designed stability algorithm balances rule- and choice-driven inputs originating from either side, facilitating the design evaluation and selection process. A key feature in the development of this architecture is the use of human user and ultimately system generated Interface Control Documents (ICD's) to define the interconnections between the Frontier modules as well as components/systems being simulated. In the case of the core IDE, the ICD's provide the starting pathway for the embryonic development of the synthetic neural system.