Ventity can be used to put big data in context, by incorporating the learnings from big data in simulations that account for organizational structure and finances. Ventity can also do data intensive simulation, with an architecture friendly to relational data and dynamically changing lists, optimization for calibration, and much more on the road map.
This video demonstrates the use of entities to: represent markets with sparse offerings and new product introductions, create new structure on the fly, from data or random events model multiple scenarios simultaneously for an aggregate infection model, model the same infection process on an agent based social network, and calibrate a function to time series
These videos walk you through the basic Ventity models in the Help system:
We were very pleased with our Ventity workshop at the SD conference in Delft. We had a good crowd, with interesting questions and lots of potential applications that will benefit from our new approach. This series of videos walks you through most of the workshop content. The workshop models are in InfectionSeries.zip, and you can
This video takes a look at opportunities for team model building in Ventity. Ventity has a modular structure, with each entity and dataset in a separate XML file. That makes it practical to use source control systems (like subversion or git) or sync software (like Dropbox or OneDrive) to manage file sharing and versioning. Once
At the System Dynamics Conference in Delft, we showed a complementary new product – Ventity – that solves some problems that can be intractable in most simulation languages. Here’s a quick preview: There’s a Ventity poster and more detailed white paper in the conference proceedings: Ventity Poster ISDC 2014 Entity-Based System Dynamics White Paper