Smart Bandits: Intelligent opponents in mission simulation

R&D case: Smart Bandits decision making module

Intelligent opponents in mission simulation

The challenge

In military simulations, computer-generated forces (CGFs) are autonomous entities that represent friendly, neutral or hostile air, ground surface, or subsurface-based units, platforms or individuals. The behaviour that CGFs display in the simulations is modelled to resemble realistic human behaviour. CGFs are typically used in application areas such as training, mission rehearsal, concept development and experimentation (CD&E) or decision support. For each application, the CGFs require different behaviour models. However, traditional modelling techniques do not give scope for expression and keep modellers from quickly developing new models. New approaches to behaviour modelling are therefore required.

The solution

The results of the studies have been combined in a user-friendly graphical behaviour modelling tool. The tool was named Smart Bandits (after the project). It lets modellers quickly implement behaviour models and link the new models to the CGFs in a simulation engine. While the CGFs make their observations in the simulated world, the Smart Bandits tool calculates their next actions. During simulations, the behaviour models can easily be inspected to see what the CGFs are thinking. Apart from being an intuitive modelling tool, Smart Bandits continues to be a platform for behaviour modelling research. NLR is continuously experimenting with new modelling techniques and new ways of interacting with CGFs.

Smart Bandits - Intelligent opponents in mission simulation

What did we do?

To this end, we carried out research in two main directions, namely human behaviour and computational modelling. In the former, we specifically studied situational awareness (i.e. perception of the environment) and theory of mind (i.e. beliefs, desires and intentions). In computational modelling, we studied the use of machine learning techniques for enhancing classical modelling techniques such as finite-state machines and behaviour trees.

A key component of the Smart Bandits project was the evaluation of newly developed techniques in human-in-the-loop simulations, such as in NLR’s Fighter 4-Ship networked F-16 simulator.

NLR Marknesse

Information

Latest cases

24 June 2025

R&D case: Breakthrough fuel cell technologies for aircraft

Project: BRAVA (Breakthrough Fuel Cell Technologies for Aviation) In the BRAVA project, technologies for a fuel cell-based power generation system (PGS) for aircraft are being developed. Since fuel cells generate a substantial amount of waste heat, a cooling system is required to remove this heat, which in turn accounts for a significant portion of the […]
Construction and Manufacturing

06 June 2025

R&D case: Laser ultrasonic inspection of complex-shaped composites

The manufacturing of complex-shaped composites is becoming increasingly common, driving up demand for fast automated quality control. Laser ultrasonic testing can be a viable technique to achieve this, as it is fast and contactless. However, it requires the inspected part to be perpendicular to the laser beam, posing a challenge for the positioning of the […]
Construction and Manufacturing

28 May 2025

R&D case: Fast non-destructive testing of large composite aircraft structures

Project: PENELOPE (Closed-loop digital pipeline for a flexible and modular manufacturing of large components) Automation of non-destructive and in-line inspection of aircraft composite parts contributes to efficient high-volume aircraft production, such as expected for the next-generation short-medium range (SMR) aircraft with entry-into-service in 2035. However, automation can also be cost-effective for smaller production volumes, as […]