Applicability of KEEL Technology to the 4D/RCS Reference Model Architecture for Unmanned Vehicle Systems

The 4D/RCS Reference Model Architecture for Unmanned Vehicle Systems provides a methodology for conceptualizing, designing, engineering, integrating, and testing intelligent systems software for vehicle systems with any degree of autonomy. Many of the components of this architecture require the integration of cognitive functions to provide this autonomy. KEEL (Knowledge Enhanced Electronic Logic) technology provides a mechanism for defining and executing some of these cognitive functions. This report targets organizations that are interested in developing products compatible with the 4D/RCS Reference Model and that may find value in KEEL technology for development, test, and execution. 1. Problem Statement The 4D/RCS Reference Model Architecture defines “Value Judgment” and “Behavior Generation” services that will be distributed across a hierarchy of systems. As the 4D/RCS Reference Model is deployed in support of the Future Combat System, there will likely be thousands, if not millions of cognitive decisions required. The 4D/RCS Reference Model suggests some approaches to package and deliver these cognitive functions. Section 4.4.12 (Knowledge of Rules of Mathematics and Logic) identifies the use of conventional programming concepts (IF, THEN, ELSE) to address logical problems that can be solved by numeric or symbolic algorithms. The report also recognizes that in the brain, rules can be represented by functional mappings implemented by neural nets. Section 4.4.13 (Knowledge of Rules of Physics) recognizes both a static and a dynamic nature of the system. Section 4.4.14 (Knowledge of Value) recognizes the concept of information “value”. These two sections together require that the system support the recognition of the dynamic changing of importance of information in a cognitive process.