Recombinant Cognition Synthesis - An introduction

Recombinant cognition synthesis (RCS) provides an architectural framework and methodology for combining multi-source metadata with predictive and analytic algorithms to synthesize actionable knowledge. RCS bridges an implementation gap in the current Joint Directors of Laboratories (JDL) data fusion model by specifically addressing the integration of fusion levels 2 to 4. The situation awareness (SA) envelope is predicated on a three-dimensional vector space, which comprises spatial, temporal, and semantic attributes of multi-source object metadata. The threat assessment (TA) envelope is defined by the vector space, which comprises means, motive, and opportunity weighted coefficients. Machine learning algorithms, statistical analysis, and predictive data mining techniques are applied to recombined metadata fused across its trans-dimensional attributes. An extension to the ISO 19115 model captures the necessary metadata for this fusion framework, and additionally provides the qualitative and probabilistic attributes to enable process refinement (PR).