Package | Description |
---|---|
s3games.ai | |
s3games.engine | |
s3games.player |
Modifier and Type | Method and Description |
---|---|
Player |
AStarStrategy.getPlayer(GameSpecification specs)
get a A* player object for the specified game
|
Player |
BreadthFirstSearchStrategy.getPlayer(GameSpecification specs)
return a new BFS player for the specified game
|
Player |
DepthFirstSearchStrategy.getPlayer(GameSpecification specs)
return a new DFS player for the specified game
|
Player |
MiniMaxStochasticStrategy.getPlayer(GameSpecification specs)
returns a minimax stochastic player for the specified game
|
Player |
MiniMaxStrategy.getPlayer(GameSpecification specs)
returns a minimax player for the specified game
|
Player |
MonteCarloRatioStrategy.getPlayer(GameSpecification specs)
returns a monte carlo ratio player for the specified game
|
Player |
MonteCarloRatioStrategy2.getPlayer(GameSpecification specs)
returns a monte carlo ratio2 player for the specified game
|
Player |
MonteCarloStrategy.getPlayer(GameSpecification specs)
returns a monte carlo player for the specified game
|
Player |
RandomGeneralStrategy.getPlayer(GameSpecification specs)
returns a random general player instance for the specified game
|
abstract Player |
Strategy.getPlayer(GameSpecification specs)
constructor method for the player of the respective strategy subclass
|
Modifier and Type | Field and Description |
---|---|
Player[] |
Game.players
all players that are currently playing the game
|
Modifier and Type | Method and Description |
---|---|
void |
Game.setGameAndPlayers(GameSpecification gameSpecification,
Player[] players)
setup game specification and players objects
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractMonteCarloPlayer
Holds common code shared by all monte-carlo players
|
class |
AStarPlayer
A* algorithm player that utilizes a heuristic
|
class |
BreadthFirstSearchPlayer
Standard Breadth-first-search player for one-player games.
|
class |
CameraPlayer
Camera player is utilizing the camera controller object to read the
moves made by human on the real-world board
|
class |
DepthFirstSearchPlayer
Standard Depth-first-search player for one-player games.
|
class |
MiniMaxPlayer
Minimax player searches the game tree in a breadth-first search manner,
taking the best result on the players move and the worst result on the
opponent move into account.
|
class |
MiniMaxStochasticPlayer
Extension of the standard minimax player that considers only some of
the moves in each game state hoping to search more in depth
|
class |
MonteCarloClassicPlayer
This is the default version of monte carlo player, it only
looks at the number of won trials compared to the number of all trials
|
class |
MonteCarloRatioPlayer
A version of a monte-carlo player that calculates the winning trials
scaled with a quotient that is calculated as a multiply of 1/N_i constants,
where N_i is branching in the opponent move state.
|
class |
MonteCarloRatioPlayer2
Monte carlo player where trials have differnt weight - depending
on the depth of the trial - the deeper the trial (the more moves needed),
the lower its contribution to the overall scores
|
class |
MousePlayer
Mouse player represents a human playing using/clicking the mouse in the
window with graphical visualisation of the game board
|
class |
RandomGeneralPlayer
Always plays a random move - can be used in any game
|