Work continues to configure ground AI forces command and control. There are three main systems: The border and frontline system, navigation based on terrain and surface-type, and a multi-level formation system. These are combined into one code for the final fine-tuning of ground combat. The decision-making system for ground force objectives is being tested and refined as a function of force size, unit locations, and the general objectives of the coalitions.
To improve ground forces movement calculations, a mechanism was created for the DCSDC engine that optimally analyses routes between points, whilst taking into consideration roads, terrain, and potential travel speeds across different types of surfaces. A navigation mesh editor is also being developed to allow campaign creators to modify old terrains to suit their needs. We believe these components can be applied not only within Dynamic Campaigns, but also for non-dynamic DCS missions and campaigns.
Testing of the integrated air force ‘command and control’ of DCSDC into DCS continues This includes both the creation and functioning of the missions and optimization of different mission task flight profiles. Looking ahead, there will be tests made for all components of the strategic AI troop control and player participation.
Testing of Dynamic Campaigns has resulted in a new tracking system that allows a detailed accounting of actions and behaviours. This is critical to the debugging process of such a complex task. The current DCS track file system has also been expanded with the ability to store RTS layer information. The resulting systems will allow you to review campaign events and provide a DCSDC active save system. This active save system will allow you to resume saved games and rewind time to replay an unsuccessful episode of a campaign.
