Wargaming game center background process

It basically comes down to this: can the AI trace an unbroken path from the center of the Blue Battle Group to a specific point (called the Retreat Point) far behind enemy lines without crossing into вЂNo Go AreasвЂ™ (water, swamp) or entering any area controlled by RedвЂ™s ROI (literally the red areas in the topmost screen shot). In Algorithms for Generating Attribute Values for the Classification of Tactical Situations I published the Algorithm for Flanking Attribute Value Function (right). Now the AI needs to determine if the enemy has an вЂopen or unanchored flankвЂ™. It has assigned objectives to the first Battle Group.ДЇlanking Algorithm published in, вЂњAlgorithms for Generating Attribute Values for the Classification of Tactical SituationsвЂќ.

It has determined it (Blue) will be on the offensive.ДЄgain, referring to the top screenshot you can see the AIвЂ™s calculations to this point: However, if you canвЂ™t wait, these subjects are covered in my paper, Implementing the Five Canonical Offensive Maneuvers in a CGF Environment (free download). The AI next divides all the units on the map into a forest of minimum spanning trees called Battle Groups. I plan on doing a video about this later, but for now the darker the red (in the topmost screen capture) the more вЂ“ and more powerful вЂ“ weapons the Red army can bear on that point. Next, the AI performs Range of Influence (ROI) calculations for the entire observable battlefield. It is this analysis that determines if the AI will be on the offensive or defensive and what its objectives will be. Statements preceded by the logical sign в€ґ (therefore) are conclusions, or inferences, derived from the predicate statement referenced in the brackets. The above are a list of Predicate Statements all of which the AI knows to be true. The AI вЂstrategicвЂ™ analysis for Antietam playing Blue (Union). But, what interests us are the AI layers: Battle Groups, Objectives, and that thin yellow line that snakes from a group of blue units, crossing Antietam Creek at the Middle Bridge and then, amazingly, exploiting a data anomaly to reach its goal: a point far behind enemy lines. There are multiple layers visually displaying different types of data (check out the blog вЂ“ Layers: Why a Military Simulation is Like a Parfait вЂ“ for more information about these). ThereвЂ™s a lot of stuff going on in the above image. The program thatвЂ™s running is called the AI Editor which is a bit of a misnomer because you donвЂ™t actually edit the AI in it you mostly just get to observe what itвЂ™s doing. You wonвЂ™t get to see this in the actual game. The screen shot (above) is a visual representation of what the AI is up to. Segre was my thesis advisor and one day he said to me, вЂњYou know when your AI is really working because it will surprise you.вЂќ Today I got to have one of those weird surprises. It has found a 1 pixel gap between the data and the edge of the screen and is exploiting it to successfully find an вЂopen flankвЂ™ of Red. An amazing screen capture of the AIвЂ™s solution to a problem.

Wargaming game center background process