Modeling in Numerus

Basic Model Design in NumerusMB

It is important to grasp the extent of the NumerusMB platform in order to implement powerful and complex dynamical system and agent based models. As described above, NumerusMB provides an impressive range and versatility of components to effectively execute both Dynamic Systems and Agent Based models. In addition, NumerusMB has the capability to implement designs using specialized analysis like Perceptrons and other Neural Network prediction algorithms. To utilize NumerusMB's capabilities we must first understand the basics of NumerusMB's Chip component and Population Models.

• Jump into NumerusMB's Operational Semantics here.

• Get a run through of NumerusMB's GUI here.

Chip Basics

As the NumerusMB Glossary states, a Chip is a Container component which contains a single Capsule instance. A Capsule is a prototype for a simulation unit. It contains base components and may contain other chips, inputs, and / or outputs. These definitions may appear a bit vague or broad, however, that is simply because Chips and Capsules are widely used in a variety of ways within NumerusMB.

Chip structure and usage in NumerusMB may best be understood through example. Click here for an example of using a preexisting model (from the Model Library) and manipulating the ideas of model layers and chips.

Population Model 101

See the Simple Population Model tutorial in the Model Library. This tutorial demonstrates fundamental NumerusMB usage, including how to operate the Graphical User Interface, or GUI, and its algorithmic and mathematical design. You will see basic usage of the Modeling Canvas and the Dashboard as well as NumerusMB's intuitive mathematical design.