Skip to content

game artificial intelligence

Chris Pilkington edited this page Jan 3, 2023 · 6 revisions

Artificial Intelligence

FSMs are good to separate discrete states that an agent can be in. It can work to code AI, especially if it’s an HFSM, but it’s still limited when compared with BTs.

BTs are good when the AI needs to react to changes and make decisions based on those changes dynamically.

You can also mix both, which is what I prefer.

There is also Goal Oriented Action Planning, which can give you unparalleled AI, but it’s inherently very hard to debug and documentation on it is pretty sparse.

Driving Style

From iRacing:
Each AI Driver Attribute influences the AI Driver during AI Events as follows:

  • Relative Skill – A measure of how skillful this AI Driver is compared to the other AI Drivers in this AI Opponent Roster. A lower value results in slower cornering speeds and a less optimum driving line. A higher value results in faster cornering speeds and a more optimum driving line.
  • Aggression – A measure of the AI Driver’s behavior when interacting with other cars. Low Aggression encourages more car spacing and less overtake attempts. High Aggression encourages tighter car spacing and more overtake attempts.
  • Optimism – A measure of the AI Driver’s confidence in their own skill. A lower value results in more conservative throttle and braking behavior, such as lift and coast into a braking zone. A higher value results in more confident throttle and brake behavior, such as aiming for optimal acceleration and braking marks more often.
  • Smoothness – A measure of the AI Driver’s steering behavior. A lower value results in more oversteer. A higher value results in more understeer.
  • Age – The simulated age in years of the AI Driver. A value closer to prime racing age results in faster reaction times. As age increases, it also provides racing experience that can slightly improve overall performance.
  • Pit Crew Skill – A measure of the training and consistency of the AI Driver’s pit crew. A lower value results in slower pit service times. A higher value results in optimal pit service times.
  • Pitting Strategy Riskiness – A measure of the AI Driver’s likelihood to gamble with pit service. A lower value results in conservative pitting strategy. A higher value results in pushing the car to avoid pitting.

Distances at which Visual/Aural disturbances can be identified (Work out if an enemy is alerted to a muzzle flash for example)

https://www.alternatewars.com/BBOW/Visual_Aural_Distances.htm

We can use these to determine the radius of which enemies are alerted to muzzle flash, engine noises, shots fired, etc.

Distances that light sources can be detected
with the naked eye at night

NOTE: Air observation doubles/triples these distances.

Headlights of motor vehicles and tanks

4-8 kilometers

Muzzle flashes from single cannons

4-5 kilometers

Muzzle flashes from small arms

1.5-2 kilometers

Bonfire

6-8 kilometers

Flashlight

up to 1.5 – 2 kilometers

Light match

up to 1.5 kilometers

Lighted cigarette

500 – 800 meters

Reference:
ARMOR MagazineMarch-April 1983; Page 14.

Distances that sounds are perceptible to
a man at night in open areas

Cannon shot

up to 15 kilometers

Single shot from a rifle

2-3 kilometers

Automatic weapons fire

3-4 kilometers

Tanks
(Dirt Road)

up to 1.2 kilometers

Tanks
(Highway)

3-4 kilometers

Motor Vehicles
(Dirt Road)

up to 500 meters

Motor Vehicles
(Highway)

up to 1 kilometer

Troops on Foot
(Dirt Road)

up to 300 meters

Troops on Foot
(Highway)

up to 600 meters

Small arms loading

up to 500 meters

Metal on metal

up to 300 meters

Conversation of a few men

up to 300 meters

Steps of a single man

up to 40 meters

Axe blow or
sound of a saw

up to 500 meters

Blows of shovels
and pickaxes

up to 1,000 meters

Screams

up to 1,500 meters

Oars on water

up to 2,000 meters

Reference:
ARMOR MagazineMarch-April 1983; Page 14.

Table 2-1. Audibility of Various Actions.

Sound

Maximum Distance (m)

Human speech

100- 200

Stakes being pounded into the ground by hand

300

Stakes being pounded into the ground mechanically

500

Trenches being dug (shovel striking rocks or iron)

500-1,000

Tree cutting, tree falling

800

Automatic fire

1,000-2,000

Single rifle shot

3,000

Reference:
MCWP 3-16.6: Supporting Arms Observer, Spotter and Controller, 15 October 1998

Table 2-3. Use of Trees and Foliage
for Estimating Distance.

Tree Description

Distance (m)

Trunk and main branches are visible. Foliage appears in cluster-like shape. Daylight may be seen through the foliage.

1,000

Trunk is visible, main branches are distinguishable, foliage appears as smooth surface. Outlines of foliage of separate trees are distinguishable.

2,000

Lower half of trunk is visible. Branches blend with foliage. Foliage blends with adjoining trees.

3,000

Trunk and branches blend with foliage and appear as a continuous cluster, smooth in appearance. Movement of foliage caused by wind cannot be detected.

4,000

The whole area covered by trees appears smooth and dark.

5,000 and beyond

Reference:
MCWP 3-16.6: Supporting Arms Observer, Spotter and Controller, 15 October 1998

Table 2-4. Use of Various Objects for Estimating Distance.

Object Identified by the Unaided Eye

Distance (m)

Lone tree trunk

1,000

Individuals and horsemen

1,500

Chimneys on rooftops

3,000

Windows in houses

4,000

Individual houses in a populated area

4,000 - 5,000

Villages and individual houses

8,000 - 9,000

Large houses, towers, and steeples

15,000 - 18,000

Reference:
MCWP 3-16.6: Supporting Arms Observer, Spotter and Controller, 15 October 1998

Calculating the Visibility Factor of an Aircraft (For working out if an enemy can see an aircraft without actually doing a ray cast)

VF = sqrt(FrontalArea^2 + SideArea^2 + PlanviewArea^2)

For reference, a F-4 has a VF of 1,200.

Example aircraft surface area table

Can we use it to work out if an enemy sees an aircraft? Or should we just work out if the aircraft's position is within a viewing cone, and what proportion the aircraft's bounding box/sphere takes up within that view?

Aircraft Turn Radius (For working out the turn a vehicle could make)

https://www.alternatewars.com/BBOW/Aviation/Air_Vehicle_Turn_Radius.htm

R = V^2 / A

R = Turning Radius of air vehicle in meters
V = Velocity of air vehicle in meters per second
A = Turning acceleration capability of air vehicle in meters/sec2

Example

A supersonic anti-ship missile traveling at Mach 1.5 at sea level (510 m/sec) and with a turn capability of 10 gees (98 m/sec2). What is it's turn radius?

5102 / 98 = 2,654~ meters

Pre-Calculated Turn Table

TYPE

Speed (MPH)

Speed (kts)

Speed (km/hr)

Speed (m/sec)

Average “Bare” Human
5 G's (49.03325 m/sec2)

Late 20th Century Jet Pilot (G-Suit)
9 G's (88.25985 m/sec2)

Turn Radius (ft)

Turn Radius (m)

Turn Radius (miles)

Turn Radius (km)

Turn Radius (ft)

Turn Radius (m)

Turn Radius (miles)

Turn Radius (km)


50

43.45

80.47

22.35

33.43

10.19

0.0063

0.0102

18.57

5.66

0.0035

0.0057

WW1 Biplanes

100

86.90

160.93

44.70

133.72

40.76

0.0253

0.0408

74.29

22.64

0.0141

0.0226


200

173.80

321.87

89.41

534.87

163.03

0.1013

0.1630

297.15

90.57

0.0563

0.0906


300

260.69

482.80

134.11

1,203.45

366.81

0.2279

0.3668

668.59

203.78

0.1266

0.2038

WW2 Monoplanes

400

347.59

643.74

178.82

2,139.47

652.11

0.4052

0.6521

1,188.60

362.28

0.2251

0.3623

WW2 Jets

500

434.49

804.67

223.52

3,342.93

1,018.92

0.6331

1.0189

1,857.18

566.07

0.3517

0.5661

F-86/MiG-15

600

521.39

965.60

268.22

4,813.82

1,467.25

0.9117

1.4673

2,674.34

815.14

0.5065

0.8151


700

608.28

1,126.54

312.93

6,552.14

1,997.09

1.2409

1.9971

3,640.08

1,109.50

0.6894

1.1095


800

695.18

1,287.47

357.63

8,557.90

2,608.45

1.6208

2.6084

4,754.39

1,449.14

0.9005

1.4491

F-100 / MiG-19

900

782.08

1,448.41

402.34

10,831.09

3,301.32

2.0513

3.3013

6,017.27

1,834.06

1.1396

1.8341


1,000

868.98

1,609.34

447.04

13,371.72

4,075.70

2.5325

4.0757

7,428.73

2,264.28

1.4070

2.2643

MiG-21

1,250

1,086.22

2,011.68

558.80

20,893.31

6,368.28

3.9571

6.3683

11,607.39

3,537.93

2.1984

3.5379

F-104

1,500

1,303.46

2,414.01

670.56

30,086.36

9,170.32

5.6982

9.1703

16,714.64

5,094.62

3.1657

5.0946


1,750

1,520.71

2,816.35

782.32

40,950.88

12,481.83

7.7558

12.4818

22,750.49

6,934.35

4.3088

6.9343


2,000

1,737.95

3,218.68

894.08

53,486.86

16,302.80

10.1301

16.3028

29,714.92

9,057.11

5.6278

9.0571

SR-71 (M3.32)

2,200

1,911.75

3,540.55

983.49

64,719.10

19,726.38

12.2574

19.7264

35,955.06

10,959.10

6.8097

10.9591

Train Curve Radius Calculations (For laying track)

https://www.alternatewars.com/BBOW/Railroads/NA_Railroad_Curve_Speeds.htm
Federal Railroad Administration – Track Compliance Manual Chapter 6 (1 January 2002)
Comparison of Upgrades Needed to Recognize Difference in Curve Speeds

This calculates the maximum allowable operating speed in MPH, but could be rearranged to work out the degree of curvature

Vmax = sqrt( (Ea + Eu) / (0.0007 * D) )

Vmax = Maximum allowable operating speed in MPH
Ea = Amount of super-elevation of outside rail over inside rail on a curve in inches. Limited to 6” usually in the US, and often lower to reduce wear on inner rail from heavy freights
Eu = Unbalanced Elevation in Inches. Restricted to 3” in USA, though up to 7” has been granted to the Acelas by waiver. European systems can have up to 11.8” of this to permit tilting HSR
D = Degree of curvature in degrees per 100 feet