Cognitive modeling of computational and communications systems based on physics

Abstract

The evolution towards new high performance and processing paradigms is accompanied by new tools to model the new complex designs. In this line of work new methods for representing and modeling complex systems, we propose a physics-based model for cognitive and new computing and distributed paradigms. We present a formalization for a physics-based idea – originally used for modeling a mobile networks - where we treat data as the most “intelligent” parts and the classically though as intelligent processes as mere “collisions” of particles. The use for cognitive models and tools is proposed here; a close look to possible applications in GOMS, ACT-R, or SOAR will be the subject of future extended presentations. An advantage of particles was the possibility to bring nature side-effects back to our design, converting them in new features or innovations to the system or introducing metaphor-based parts to complete the original system.