DeVivo AST, Inc. — Department of Commerce SBIR Phase I: As System-of-Systems (SoS) become more complex, interactions and latent emergent behaviors

Description

As System-of-Systems (SoS) become more complex, interactions and latent emergent behaviors become difficult to identify and control. Unmanned Autonomous Systems (UAS) are a prime example of SoS that are both critical and difficult to assure. Drawing upon prior work into multi-criteria decision making (MCDM), DeVivo AST has developed TOP Score, a software tool that facilitates the modeling and analysis of complex UAS using decomposition and empirical testing. This approach for fundamental characteristic attribution using multiple confounded tests provides increased model power and predictiveness. Unlike traditional MCDM tools, TOP Score allows for the isolation of key characteristics, dimensions, or “-ilites’ of a system through regression even when those characteristics are confounded and/or difficult to measure independently.