Why Choose Agent Based Modelling & Simulation?

With its ability to model complexity and simulate the autonomy of individual agents within a system, Agent Based Modelling & Simulation is a significant advance in analysis for business.

Its unique benefits make it especially useful in environments where

• the life cycle of the driving element is important
• system-level performance is a function of a population of influences and interactions
• complexity prevents users from comprehending and modelling as a single entity

In other words, it is an essential tool for our modern, service-orientated world in which even Original Equipment Manufacturers (OEM) no longer sell an individual product but bundle a product within a service.

For example, in global markets and supply networks, often called ‘complex adaptive systems’, Agent Based Modelling & Simulation provides insights:

• by modelling each element explicitly and demonstrating its role within the process.
• at all levels of the system.
• which demonstrate the effects of changes in policy on the root causes of performance.

Where vast quantities of data have been collected in customer, hr, enterprise and other databases, and exploited by traditional approaches for hindsight, Agent Based Modelling and Simulation can:

• exploit the potential of this data for foresight
• expand the range of strategic problems that can be conceived, modelled and acted on