Simulating Distributed and Global Consciousness Under Spatial Grasp Paradigm

Abstract

The paper is investigating the possibility of using developed and tested in different countries Spatial Grasp model and technology (SGT) for simulating global awareness and consciousness in distributed dynamic systems, with potential applications in intelligent system management, industrial development, space research, security, and defense. The main technology component, Spatial Grasp Language (SGL), allows us to obtain powerful and compact spatial solutions of different problems by directly expressing their top semantics while hiding traditional system organization and management routines inside efficient networked implementation. The paper describes in SGL a traditional organization of two opposing swarms, called “chasers” and “targets”, randomly operating on expected area. It then enriches the chasers swarm with global awareness and a sort of migrating consciousness, further strengthened by external super-consciousness capability, which allows it to drastically improve performance and make important nonlocal decisions, while putting it to a superior position over the opposing targets swarm. Despite simplicity of the shown practical example, it gives hope for the use of SGT for simulation of much broader and complex areas linked with consciousness like, for example, brain’s bimolecular processes and the basic structure of the universe. The developed networking technology can be readily implemented even in traditional university environments, as was done in the past for its previous versions in different countries under the author’s supervision.