Predictive Autonomous Runtime Modeling for Interwoven Systems

The explosion in connectivity of devices and systems which is being enabled by information and communications technologies has created ultra-complex constructs. Managing such systems is beyond the capabilities of traditional systems engineering approaches. This article explores results from social and cognitive psychology which describe how humans manage the informational chaos of daily life using schemas, frames, scripts, and stereotypes to aid processing. This exploration provides a framework for considering possible means, methods, and processes by which an entity could successfully engage in autonomous runtime modeling to extend its self-and worldrepresentations and thus enable participation in an autonomously created interwoven system.