I am not sure if a commercial game developer would feel comfortable releasing his product (his source code). His source is his future with respect to new products which he plans to use as a baseline for future products. A flight sim developer must sell a string of products base on his engine to make any real money these days (you do not develop a new engine for only one product).
The COD manager might be willing to assign a programmer to work with a committed team of AI testers who would test, offer suggestions, analysis, and refinements. All parties would need to understand that the project would be long term (multi-year) with updates maybe every 6 months. A new priviate forum could be used to coordinate the work (the BOBII approach).
I do not want to bore you guys with BOBII but for those interested in AI (and I understand that some players are only into MP), I will offer a document. I offer the document to show an overview of BOBII AI's the scope and complexity. Please skip it if not interested and am sorry for boring anyone.
Overview of the BOBII AI Performance and Design
The redesign of the AI Maneuver Selection
The redesign of the AI maneuver Selection Criteria was driven by the need to become more deterministic and less random in selecting AI maneuvers. I felt the need to move in this direction to improve the AI offence and defense so the AI selection software had more control. Of course there is a big danger in this strategy. We do not want BOBII to become repeatable. This will become a fine line to follow in the future and I will need both our testers and customers help and feedback.
Here is a summary of the new selection criteria design:
1. Altitude (how much altitude and rate of change)
2. Speed (how much speed, and rate of change)
3. Position of A/C to each other (none to tail, tail to tail, nose to beam, tail to beam or left, right, front, back)
To implement the new selection criteria I built a 3 X 6 matrix (a truth table) and many new programs. For each A/C (the unfriendly and the AI or the player), I designed programs to look at Altitude, Speed, and position and to first try and select the best maneuver option (aggressive or defense) based on AI skill level.
Altitude and speed can also be thought of as “energy” as altitude can be turned into speed.
The new design uses the A/C’s current position but I am thinking about implementing the A/C’s “lead” position (his future position which would be a small delta in the future).
Anyway, this new design is a long term work BOBII AI strategy (work in progress) that I can work on as I have new ideas for the AI from our testers and customers. It should position the BOBII AI design for future improvements by using more deterministic rather than random selection criteria. The goal is very simple "to improve the AI performance" and keep BOBII the best off line AI.
My gut feel based on my experience and testing is that the AI is now stronger at selecting the best/correct maneuver, avoiding bad positions (like low altitude), better at avoiding low energy, and in general a bit stronger fighter and defender. Of course, the Player will always “win” with experience/practice but if we give the player a better fight (scrap), I personally consider that real progress.
BTW, I also gave the Terminator AI a bit of boost in performance and tune-up so you might want to try it out. With the boost in Terminator performance, he was getting “cocky” so I implemented a spinout feature. The Terminator flies so close to the edge now that he has a tendency to “spinout”. This is when you can get him.
I also implemented a new AI feature called “Flying Factor (FF)”. This is the knowledge of the AI pilot to fly a given maneuver (experience) and how well the AI pilot will actually fly the given maneuver (skill). The FF is based on the Skill Level (customer selected in Instant Action Missions and software assigned in the Campaign). The Terminator AI is assigned a Skill Level of Hero2 (the highest in the game) so that is where he gets his boost in performance (edge).
AI Maneuver Selection is KEY
First, the BOBII AI has a special case for selection called “Evasive maneuver selection”. The Evasive maneuver is required when an AI is shot at (either a hit or near miss). The AI will select a defensive maneuver based on the criteria/data for both Player and enemy AI (speed, altitude, and the position of the targeting AI and the AI being targeted with respect to each other).
The first key decision to be made is to select either an aggressive or defensive maneuver. This is a complex decision based on the available information on both the Player and the Enemy AI or the friendly AI and the enemy AI. The data considered for both Player and enemy is speed, altitude, and the position of the targeting AI and the AI being targeted with respect to each other.
After selecting either an aggressive or defensive, then a random approach is used to select a category (choose good, choose bad, or choose “neither” good nor bad maneuver).
Maneuvers are then divided into three parts Climb, Horizontal, and dive for each of our categories (choose good, choose bad, and choose neither good nor bad maneuver).
The individual maneuver selection is then based on speed, altitude, and position of both the player and the enemy AI.
In BOBII we have over 80 complex maneuvers for selection (both the aggressive and defensive maneuvers) for the fighters (Spit,Hurri,109.110) and over 50 simple maneuvers for selection for the JU87 and Defiant. The following are BOBII’s complex maneuvers (each maneuver is a significant program for completing the assigned maneuver):
MANOEUVRE_SELECT
MANOEUVRE_LOOKROUND
MANOEUVRE_WELDEDWINGMAN
MANOEUVRE_BAILOUT
MANOEUVRE_TOPCOVER
MANOEUVRE_FORCETOPCOVER
MANOEUVRE_LINEABREAST
MANOEUVRE_PINCER
MANOEUVRE_MULTIWAVE
MANOEUVRE_DIVEANDZOOM
MANOEUVRE_INSIDELOOP
MANOEUVRE_LAGPURSUIT
MANOEUVRE_SPLITMANOEUVRE
MANOEUVRE_HEADON
MANOEUVRE_LINEASTERN
MANOEUVRE_VICATTACK
MANOEUVRE_BARRELROLLATTACK
MANOEUVRE_SCISSORS
MANOEUVRE_MILDSCISSORS
MANOEUVRE_TURNINGFIGHT
MANOEUVRE_SPLITS
MANOEUVRE_ZOOMANDDROP
MANOEUVRE_STRAIGHTANDLEVEL
MANOEUVRE_SPINOUT
MANOEUVRE_DIVEFORHOME
MANOEUVRE_GOHOME
MANOEUVRE_MAKEFORFRIENDLY
MANOEUVRE_MOVEAWAY
MANOEUVRE_QUICKROLL
MANOEUVRE_IMMELMANNTURN
MANOEUVRE_IMMELMANN
MANOEUVRE_STAYWITHPREY
MANOEUVRE_CLIMBFORHOME
MANOEUVRE_STRAIGHTDIVE
MANOEUVRE_OUTSIDELOOP
MANOEUVRE_SHOOTTOFRIGHTEN
MANOEUVRE_SHOOTTOOEARLY
MANOEUVRE_GAINHEIGHT
MANOEUVRE_LAGROLL
MANOEUVRE_EXTENSION
MANOEUVRE_DIVINGROLL
MANOEUVRE_REVERSETURN
MANOEUVRE_SELFASBAIT
MANOEUVRE_JINK
MANOEUVRE_BREAKTURN
MANOEUVRE_LAZYTURN
MANOEUVRE_BREAKLOW
MANOEUVRE_BREAKHIGH
MANOEUVRE_BREAK90
MANOEUVRE_BREAK180
MANOEUVRE_HIGBARRELROLL
MANOEUVRE_PANICTURN
MANOEUVRE_TURNANDRUN
MANOEUVRE_LOWALT
MANOEUVRE_ZOOM
MANOEUVRE_INTERCEPTHIGH
MANOEUVRE_INTERCEPTLOW
MANOEUVRE_GAINSPEED
MANOEUVRE_HEADONATTACK
MANOEUVRE_LUFBERRY
MANOEUVRE_STEEPDIVE
MANOEUVRE_UPANDUNDER
MANOEUVRE_STALLTURN
MANOEUVRE_SLASHINGATTACK
MANOEUVRE_CLIMBTURN
MANOEUVRE_ROLL360
MANOEUVRE_STRAFFE
MANOEUVRE_TRANSITION
MANOEUVRE_PEELOFF
MANOEUVRE_SNAPSHOT
MANOEUVRE_STAYONTAIL
MANOEUVRE_FLYTHROUGHCLOUD
MANOEUVRE_REGROUP
MANOEUVRE_DISENGAGED
MANOEUVRE_SPINRECOVERY
MANOEUVRE_COLLIDE
MANOEUVRE_LAST
MANOEUVRE_ALIGNMENT
MANOEUVRE_DROPANDZOOM
MANOEUVRE_COLLISIONAVOIDANCE
MANOEUVRE_TURNTOHDGANDPITCH
MANOEUVRE_SCREWYOUGUYSIMGOINGHOME
The AI Performance Criteria/Dependencies
Skill Level
The AI performance is dependent on AI Skill Level (which is customer selected in Instant Action and SW assigned in the campaign). BOBII AI do make mistakes (spin, crash, dumb maneuvers, bad judgment, shoot late , shoot bad, etc) which is after all very human.
The skill level of the AI is key in making decisions on about everything with respect to AI performance like (1) how well the AI fly, shoot, shoot fast, slow, accuracy, or not shoot, (2) how well the AI fly, what maneuvers are selected, and how well the AI will fly the chosen maneuver.
Random Numbers (Luck of the draw)
The BOBII AI A/C is also dependent on luck (specifically on random numbers). Random number decisions are coded through out the AI code. BOBII’s random approach keeps BOBII from doing the same thing each time. Even something as simple as the direction to start a maneuver (left or right), I will use a random number to decide (why hard code something when you can use a random number).
For example, most BOBII vertical maneuvers use a random number to assign a length of time to for a specific vertical maneuver (Like Zoom). The AI pilot will sometimes cut off early, or late, or somewhere in the middle. If early the maneuver may carry too much speed and if late the AI may slow down so much that control is lost (very human).
The bottom line is that the customer will always see a somewhat different maneuver (very good, good, not so good, and loss of control) both because of the random implementation and the different physic’s parameters (speed, roll, heading, pitch, and overall energy) going into each maneuver.
The very real downside of random numbers is it is very hard to test (not repeatable) and the processing power used.
Conditions
The conditions for each maneuver are always different (energy, speed, altitude, skill, damage, and enemy position). This also changes how the maneuver is performed. A damaged AI will not fly as well as an undamaged AI.
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