By:
Jojo naqvi
 Game artificial intelligence refers to techniques
used in computer and video games to produce
the illusion of intelligence in the behavior of
non-player characters (NPCs)
 Hacks and cheats are acceptable and, in many
cases, the computer abilities must be toned
down to give human players a sense of fairness.
E.g racing and shooting
1
 AI has continued to improve, with aims set on a
player being unable to tell the difference
between computer and human players.
 A game must „feel‟ natural
◦ Obey laws of the game
◦ Characters aware of the environment
◦ Path finding (A* algorithm)
◦ Decision making
◦ Planning
3
 Games are fun!
 They are limited, well-defined rules
 They are one of the few domains that allow us to
build agents.
 Studying games teaches us how to deal with other
agents trying to foil our plans
 Nice, clean environment with clear criteria for
success
 Game playing is considered an intelligent human
activity.
 AI has always been interested in abstract games.
 Games present an ideal environment where hostile
agents may compete.
4
 Machine Learning - also
known as ML, is a field of
artificial intelligence
which focuses on
developing algorithms
that can learn to predict,
classify, control, or solve
problems.
 Reinforcement Learning -
Taking past data that the
AI has recorded and
using it to influence
behavior and choices
made in the future.
 Waypoint Graph - is a
collection of waypoints
linked up to form the
information about what
areas of a level can be
traversed by an actor
during path finding.
5
 Game AI is about the illusion of human behaviour
◦ Smart, to a certain extent (Creativity)
◦ Non-repeating behaviour
◦ Emotional influences (Irrationality, „Personality‟)
◦ Body language to communicate emotions
◦ Being integrated in the environment
 Game AI needs various computer science disciplines
◦ Knowledge Based Systems
◦ Machine Learning
◦ Multi-agent Systems
◦ Computer Graphics & Animation
◦ Data Structures
6
 Strategy Games
◦ Real-Time Strategy (RTS)
◦ Turn-Based Strategy (TBS)
◦ Helicopter view
 Role-Playing Games (RPG)
◦ Single-Player
◦ Multi-Player (MMORPG)
 Action Games
◦ First-Person Shooters (FPS)
◦ First-Person Sneakers
 Sports Games
 Simulations
 Adventure Games
 Puzzle Games
7
8
23-Mar-20009Artificial Intelligence - CMT310 9
 providing more multi-human gaming
opportunities
◦ Teaming up with/against other
humans
◦ Large environments
◦ Changing environments
10
 A* algorithm gives the shortest path from
predator to prey in a tiled environment.
 This can be used for chase/evade.
 However, alternatives exist.
if (predatorX > preyX) {
predatorX--;
} else if (predatorX == preyX) {
// do nothing
} else {
predatorX++;
}
if (predatorY > preyY) {
predatorY--;
} else if (predatorY == preyY) {
// do nothing
} else {
predatorY++;
}
assuming tiled environment
Predator is at coordinates (predatorX,predatorY).
Prey is at coordinates (preyX,preyY).
This algorithm will update predator coordinates.
Algorithm for prey (evade) is just the opposite.
 This chase algorithm is not natural.
 Suppose the prey and predator are at the
coordinates below, then the algorithm will
give the following path.
prey
predator
 Instead we want a more natural path like
below.
prey
predator
What is Data Structure?
 In computer science, a data structure is a particular
way of storing and organizing data in a computer
so that it can be used efficiently.
 Data structures are used in almost every program
or software system.
 Data structures provide a means to manage huge
amounts of data efficiently.
What is Chess?
 Chess is a two-player board game played on a
chessboard, a square checkered board with
64 squares arranged in an eight-by-eight grid. It
is one of the world's most popular games, played
by millions of people worldwide.
 In computer chess, software developers must
choose a data structure to represent chess
positions on the chessboard
 In computer chess, software developers must
choose a data structure to represent the chess
board and chess positions. Several data structures
exist, collectively known as board representations.
Some are given below
 Offset board representation
 Bitmap board representation
 Two-dimensional array representation
 0X88 board representation
 Huffman encoding technique for chess pieces
 horizontal lines are called “Ranks”
 vertical lines are called “Columns” (column A,
column B… column H)
 Talking about indexes of array you can
imagine an 8 x 8 chess board in this way:
 The formula to calculate a square is:
 Index = rank * 8 + column
 where rank 1, rank 2,…, rank 8 and column
A, column B,…, column H are 0,1,2…7; the
index of square “e4″ is : 3 * 8 + 4=28 .
 Where c is a bit representing the color of the piece (1 = LIGHT, 0 = DARK)

Game playing in artificial intelligent technique

  • 1.
  • 2.
     Game artificialintelligence refers to techniques used in computer and video games to produce the illusion of intelligence in the behavior of non-player characters (NPCs)  Hacks and cheats are acceptable and, in many cases, the computer abilities must be toned down to give human players a sense of fairness. E.g racing and shooting 1
  • 3.
     AI hascontinued to improve, with aims set on a player being unable to tell the difference between computer and human players.  A game must „feel‟ natural ◦ Obey laws of the game ◦ Characters aware of the environment ◦ Path finding (A* algorithm) ◦ Decision making ◦ Planning 3
  • 4.
     Games arefun!  They are limited, well-defined rules  They are one of the few domains that allow us to build agents.  Studying games teaches us how to deal with other agents trying to foil our plans  Nice, clean environment with clear criteria for success  Game playing is considered an intelligent human activity.  AI has always been interested in abstract games.  Games present an ideal environment where hostile agents may compete. 4
  • 5.
     Machine Learning- also known as ML, is a field of artificial intelligence which focuses on developing algorithms that can learn to predict, classify, control, or solve problems.  Reinforcement Learning - Taking past data that the AI has recorded and using it to influence behavior and choices made in the future.  Waypoint Graph - is a collection of waypoints linked up to form the information about what areas of a level can be traversed by an actor during path finding. 5
  • 6.
     Game AIis about the illusion of human behaviour ◦ Smart, to a certain extent (Creativity) ◦ Non-repeating behaviour ◦ Emotional influences (Irrationality, „Personality‟) ◦ Body language to communicate emotions ◦ Being integrated in the environment  Game AI needs various computer science disciplines ◦ Knowledge Based Systems ◦ Machine Learning ◦ Multi-agent Systems ◦ Computer Graphics & Animation ◦ Data Structures 6
  • 7.
     Strategy Games ◦Real-Time Strategy (RTS) ◦ Turn-Based Strategy (TBS) ◦ Helicopter view  Role-Playing Games (RPG) ◦ Single-Player ◦ Multi-Player (MMORPG)  Action Games ◦ First-Person Shooters (FPS) ◦ First-Person Sneakers  Sports Games  Simulations  Adventure Games  Puzzle Games 7
  • 8.
  • 9.
  • 10.
     providing moremulti-human gaming opportunities ◦ Teaming up with/against other humans ◦ Large environments ◦ Changing environments 10
  • 11.
     A* algorithmgives the shortest path from predator to prey in a tiled environment.  This can be used for chase/evade.  However, alternatives exist.
  • 12.
    if (predatorX >preyX) { predatorX--; } else if (predatorX == preyX) { // do nothing } else { predatorX++; } if (predatorY > preyY) { predatorY--; } else if (predatorY == preyY) { // do nothing } else { predatorY++; } assuming tiled environment Predator is at coordinates (predatorX,predatorY). Prey is at coordinates (preyX,preyY). This algorithm will update predator coordinates. Algorithm for prey (evade) is just the opposite.
  • 13.
     This chasealgorithm is not natural.  Suppose the prey and predator are at the coordinates below, then the algorithm will give the following path. prey predator
  • 14.
     Instead wewant a more natural path like below. prey predator
  • 15.
    What is DataStructure?  In computer science, a data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently.  Data structures are used in almost every program or software system.  Data structures provide a means to manage huge amounts of data efficiently.
  • 16.
    What is Chess? Chess is a two-player board game played on a chessboard, a square checkered board with 64 squares arranged in an eight-by-eight grid. It is one of the world's most popular games, played by millions of people worldwide.  In computer chess, software developers must choose a data structure to represent chess positions on the chessboard
  • 18.
     In computerchess, software developers must choose a data structure to represent the chess board and chess positions. Several data structures exist, collectively known as board representations. Some are given below  Offset board representation  Bitmap board representation  Two-dimensional array representation  0X88 board representation  Huffman encoding technique for chess pieces
  • 19.
     horizontal linesare called “Ranks”  vertical lines are called “Columns” (column A, column B… column H)  Talking about indexes of array you can imagine an 8 x 8 chess board in this way:  The formula to calculate a square is:  Index = rank * 8 + column  where rank 1, rank 2,…, rank 8 and column A, column B,…, column H are 0,1,2…7; the index of square “e4″ is : 3 * 8 + 4=28 .
  • 21.
     Where cis a bit representing the color of the piece (1 = LIGHT, 0 = DARK)