A Study on How Random Events Generate Interactive Networks in Complex Environments.


It has long been established events in complex systems are networked. Information is stored in the network and migrated to other part of the network. We have managed to recreate this scenario by usng graphical dynamic chart to simulate the movements of information through the network and to retrieve stored information sometimes in the timeline.

All complex environments emit thermodynamic energy signals during interactions. By slicing these signals with time into single plane movements, they become the commonly termed random number sequences. Our research team investigates how non-linear analogue algorithms which works as non-linear computational device can be used to simulate predictive dynamics. Its architecture basically relies on the fact that symmetrical information is the single most important ways that information are conveyed from one section of space-time to the other section to form closed uniform entities such as galaxies.

Symmetry is innate expressions of naturally occurred complex systems. We are able to design geometric modelling to allow symmetrical expressions to profess itself graphically, predictive regime can then be construed to execute forecasting tasks bypassing the need of big data.

Examples of other Thermodynamic Complex Systems:

Our brains are perfect examples of closed complex system environments in constant interactions with the surroundings. Thermodynamic energy dissipates in heat, electrical signals and in thoughts. Our thought streams have to be transformed into analogue information in linear progressions in order to carry out as actions. By converting thoughts into integer sequences, we may be able to conduct experiments using RDS geometric modelling to do predictions. Other example of natural complex system environment is vacuum space with quantum field fluctuations.

Quantum worlds emit energy the same as all thermodynamic matters. Scientists in Geneva University have been using photon double slit mechanisms to register energy signals as random number sequences. ANU scientists detect fluctuations in quantumn vacuum as random numbers.

We conclude that the time when we can successfully analyse complex system interactions is the time to usher us into an era of cross-domain AI machines.

Quotes From The Great Scientists:

“I think the next century will be the century of complexity.” Stephen Hawking

“The great unexplored frontier is complexity…I am convinced that nations and people that master the new science of complexity will become the economic, cultural, and political superpowers of the next century.” Heinz Pagels (1939-1988)