Uses of Class
net.sourceforge.cilib.games.game.Game

Packages that use Game

net.sourceforge.cilib.games.agent
net.sourceforge.cilib.games.agent.neural
net.sourceforge.cilib.games.agent.state
net.sourceforge.cilib.games.agent.state.evaluation
net.sourceforge.cilib.games.agent.state.traversal
net.sourceforge.cilib.games.game
net.sourceforge.cilib.games.game.predatorprey
net.sourceforge.cilib.games.game.scoring
net.sourceforge.cilib.games.game.tetris
net.sourceforge.cilib.games.game.tictactoe
net.sourceforge.cilib.games.measurement
net.sourceforge.cilib.problem.coevolution

Uses of Game in net.sourceforge.cilib.games.agent

Methods in net.sourceforge.cilib.games.agent with parameters of type Game

void	NeuralAgent.move(Game<GameState> game) Alter the current game by making a decision.
abstract void	Agent.move(Game<GameState> game) Alter the current game by making a decision.
void	RandomAgent.move(Game<GameState> game) Alter the current game by making a decision.

Uses of Game in net.sourceforge.cilib.games.agent.neural

Methods in net.sourceforge.cilib.games.agent.neural with parameters of type Game

abstract void	NeuralOutputInterpretationStrategy.applyOutputToState(TypeList outputData, Agent currentPlayer, Game<GameState> oldState) Modify the game by the output vector
abstract Vector	NeuralStateInputStrategy.getNeuralInputArray(NeuralAgent currentPlayer, Game<GameState> state) Get an input vector for the given game state

Uses of Game in net.sourceforge.cilib.games.agent.state

Methods in net.sourceforge.cilib.games.agent.state with parameters of type Game

void	StateEvaluationAgent.move(Game<GameState> game) Alter the current game by making a decision.

Uses of Game in net.sourceforge.cilib.games.agent.state.evaluation

Methods in net.sourceforge.cilib.games.agent.state.evaluation with parameters of type Game

double	EndGameStateEvaluator.evaluateState(Game<GameState> state, int decisionPlayerID) Evaluate a given GameState for a given player ID.
double	NeuralStateEvaluator.evaluateState(Game<GameState> state, int decisionPlayerID) Evaluate a given GameState for a given player ID.
double	StateEvaluator.evaluateState(Game<GameState> state, int decisionPlayerID) Evaluate a given GameState for a given player ID.
void	NeuralStateEvaluator.move(Game game) Alter the current game by making a decision.

Uses of Game in net.sourceforge.cilib.games.agent.state.traversal

Methods in net.sourceforge.cilib.games.agent.state.traversal with parameters of type Game

abstract GameState	StateTraversalStrategy.selectState(Game<GameState> game, int playerID) Select a GameState from the given game objects list of possible states for the specified player.
GameState	MinMaxAlphaBetaTraversalStrategy.selectState(Game<GameState> game, int playerID) Select a GameState from the given game objects list of possible states for the specified player.

Uses of Game in net.sourceforge.cilib.games.game

Subclasses of Game in net.sourceforge.cilib.games.game

class

GridGame

Methods in net.sourceforge.cilib.games.game that return Game

abstract Game<E>	Game.getClone() Create a cloned copy of the current object and return it.
abstract Game<E>	Game.getClone(E newState) Get a clone with the given GameState This method should typically be used by the StateTraversalStrategy and Agent with regards to decision making when playing the game.

Constructors in net.sourceforge.cilib.games.game with parameters of type Game

Game(Game<E> other)
Copy constructor

Game(Game<E> other, E newState)
Copy constructor, copy the given Game object but use the given GameState obect.

Uses of Game in net.sourceforge.cilib.games.game.predatorprey

Subclasses of Game in net.sourceforge.cilib.games.game.predatorprey

class	PredatorPreyGame
class	RealTimePredatorPreyGame

Methods in net.sourceforge.cilib.games.game.predatorprey with parameters of type Game

void	NeuralPreyOutputStrategy.applyOutputToState(TypeList outputData, Agent currentPlayer, Game oldState) Modify the game by the output vector
void	NeuralPredatorOutputStrategy.applyOutputToState(TypeList outputData, Agent currentPlayer, Game oldState) Modify the game by the output vector
void	PredatorPreyGameScoringStrategy.assignPlayerScores(Game game) Assign a Fitness to each Agent after the completion of a Game
Vector	PredatorPreyNeuralInputStrategy.getNeuralInputArray(NeuralAgent currentPlayer, Game state) Get an input vector for the given game state
void	PredatorPreyGameScoringStrategy.initializeMeasurements(Game game) Initialize the game with the neccesary AgentMeasure's that the scoring strategy may require to calculate the Fitness for all the Agents

Uses of Game in net.sourceforge.cilib.games.game.scoring

Methods in net.sourceforge.cilib.games.game.scoring with parameters of type Game

abstract void	GameScoringStrategy.assignPlayerScores(Game game) Assign a Fitness to each Agent after the completion of a Game
void	WinLoseDrawValueScoringStrategy.assignPlayerScores(Game game) Assign a Fitness to each Agent after the completion of a Game
abstract void	GameScoringStrategy.initializeMeasurements(Game game) Initialize the game with the neccesary AgentMeasure's that the scoring strategy may require to calculate the Fitness for all the Agents
void	WinLoseDrawValueScoringStrategy.initializeMeasurements(Game game) Initialize the game with the neccesary AgentMeasure's that the scoring strategy may require to calculate the Fitness for all the Agents

Uses of Game in net.sourceforge.cilib.games.game.tetris

Subclasses of Game in net.sourceforge.cilib.games.game.tetris

class

Tetris This is an implimentation of the game of Tetris.

Methods in net.sourceforge.cilib.games.game.tetris with parameters of type Game

void	TetrisScoringStrategy.assignPlayerScores(Game game) Assign a Fitness to each Agent after the completion of a Game
double	PierreDellacherieTetrisEvaluator.evaluateState(Game<GameState> state, int decisionPlayerID) Evaluate a given GameState for a given player ID.
Vector	TetrisFeaturesInputStrategy.getNeuralInputArray(NeuralAgent currentPlayer, Game state) Get an input vector for the given game state
void	TetrisScoringStrategy.initializeMeasurements(Game game) Initialize the game with the neccesary AgentMeasure's that the scoring strategy may require to calculate the Fitness for all the Agents
void	AveTetrisFeaturesMeasure.measure(Game<GameState> game) Measure game specific information and store it

Uses of Game in net.sourceforge.cilib.games.game.tictactoe

Subclasses of Game in net.sourceforge.cilib.games.game.tictactoe

class

TicTacToe This is an implimentation of the game of Tic Tac Toe

Methods in net.sourceforge.cilib.games.game.tictactoe that return Game

Game<GridGameState>	TicTacToe.getClone() Create a cloned copy of the current object and return it.
Game<GridGameState>	TicTacToe.getClone(GridGameState newState) Get a clone with the given GameState This method should typically be used by the StateTraversalStrategy and Agent with regards to decision making when playing the game.

Methods in net.sourceforge.cilib.games.game.tictactoe with parameters of type Game

Vector

TTTStateInputStrategy.getNeuralInputArray(NeuralAgent currentPlayer, Game state) Get an input vector for the given game state

Uses of Game in net.sourceforge.cilib.games.measurement

Methods in net.sourceforge.cilib.games.measurement with parameters of type Game

void	RecordItemLocationMeasure.measure(Game<GameState> game) Measure game specific information and store it
void	AverageItemDistanceMeasure.measure(Game<GameState> game)
abstract void	AgentMeasure.measure(Game<GameState> game) Measure game specific information and store it

Uses of Game in net.sourceforge.cilib.problem.coevolution

Fields in net.sourceforge.cilib.problem.coevolution declared as Game

protected Game

GameLearningOptimizationProblem.game

Methods in net.sourceforge.cilib.problem.coevolution that return Game

Game	GameLearningOptimizationProblem.getGame()

Methods in net.sourceforge.cilib.problem.coevolution with parameters of type Game

void	GameLearningOptimizationProblem.setGame(Game game)