Rwise - Reference World Information Synthetic Environment
Charles F. Day & Associates: Your Partner in Business Growth
RWISE is an Agent-Based Modeling and Simulation capability that allows for the true complexities in life to be maintained in the simulation, allowing for emergent phenomena that cannot be factored into the simulation with any other type of tools. Other modeling tools base their results on the repetition of historical data and events loaded into the system to return forced-choice results. RWISE escapes the “forced choice” paradigm. It also provides sentiment analysis and predictive sentiments and accounts for the complex interaction of factors. You can’t factor every variable into your model, but RWISE can do that for you.
The main features of the simulations:
Bring longitudinal data, creating in a to lifecomputer the pipeline of individual agents.
Models the traits, sensors, environment and well-being of our population. Well-being creates a predictive connection between events in the individual’s environment and individual motivation, decisions, and outcomes.
Introduces events, real or planned, into the environment. Let’s users see how people respond. Organizations and institutions see how their contributions are experienced in people’s lives.
Derives the individual traits, influences, factors, and milestones that have the most impact on results.
Shows how strategies are best customized by groups for groups. Helps us write policy and rules that allow for the desirable variation.
Keeps a real-time geographic view, a needs analysis, and a testing environment for collaborative leaders solving complex problems with limited resources.