Anonymous ID: a3f57f Feb. 15, 2018, 7:53 p.m. No.393019   🗄️.is 🔗kun   >>3125

Sentient World Simulation

 

en.wikipedia.org/wiki/Synthetic_Environment_for_Analysis_and_Simulations

 

with D Wave computers?

 

en.wikipedia.org/wiki/D-Wave_Systems

 

Modeling and simulation quickly becomes out of sync with new events, the emergence of new forces, and

newly proposed theories. THE GOAL OF THE SENTIENT WORLD SIMULATION (SWS) IS TO BUILD A SYNTHETIC MIRROR OF

THE REAL WORLD WITH AUTOMATED CONTINUOUS CALIBRATION WITH RESPECT TO CURRENT REAL-WORLD INFORMATION, SUCH AS

MAJOR EVENTS, OPINION POLLS, DEMOGRAPHIC STATISTICS, ECONOMIC REPORTS, AND SHIFTS IN TRENDS. The ability of a

synthetic model of the real world to sense, adapt, and react to real events distinguishes SWS from the

traditional approach of constructing a simulation to illustrate a phenomena. Behaviors emerge in the SWS

mirror world and are observed much as they are observed in the real world. Basing the synthetic world in

theory in a manner that is unbiased to specific outcomes offers a unique environment in which to develop,

test, and prove new perspectives.

SWS consists of components capable of capturing new events as they occur anywhere in the world, focus

on any local area of the synthetic world offers sufficient detail. In other words, the set of models that make

up the synthetic environment encompass the behavior of individuals, organizations, institutions,

infrastructures and geographies while simultaneously capturing the trends emerging from the interaction

among entities as well as between entities and the environment. The multi-granularity detail provides a

means for inserting new models of any temporal and spatial scales, or for incorporating user-supplied data

at any level of granularity. Therefore, SWS can be continuously enriched and refined as new information

becomes available.

SWS consists of the following components:

• A synthetic environment that supports Effects Based Approach and a comprehensive

representation of the real world at all levels of granularity in terms of a Political, Military,

Economic, Social, Informational, and Infrastructure (PMESII) framework.

• A scalable means of integrating heterogeneous components across time and space granularities.

• Mechanisms that discover, gather, and incorporate new knowledge into the continuously running

synthetic environment.

• A single façade of user interfaces enabling information from all sources (simulation generated

data, parameters for models, and data gathered from the real world) to be searched, viewed and

modified in an ontology-aware manner.

• Integrated Development Environments (IDE)s for constructing and configuring new models or

modifying existing models and then incorporating these changes into the continuously running

synthetic world.

• A means to take excursions from any point in time in the synthetic world to focus on select

regions of the world, leverage private user data, or to research specific theories by simplifying the

types of models to employ in the excursion.

 

TLDR:

What if we're living in the prequel to the Matrix? And this is our chance to avert that?