Index (jump-sturdy-ai 1.0-SNAPSHOT API)

A B C D E G I M N O P Q R S T U V
All Classes and Interfaces|All Packages

A

addWinAndIncrementVisit(int) - Method in class search.mcts.MCTSNode: Increments the number of visits and adds a win to the node.
AI - Class in search: Interface for defining an AI.
AI() - Constructor for class search.AI
app - package app
aspirationWindow - Variable in class search.SearchConfig
aspirationWindowSize - Variable in class search.SearchConfig

B

benchmark - package benchmark
benchmark.simulation - package benchmark.simulation
bestConfig - Static variable in class search.ab.Minimax_AB
BLUE - Enum constant in enum class game.Color
board - Variable in class search.mcts_lib.OpeningBookGenerator
bytesToGigabytes(long) - Static method in class benchmark.simulation.ConnectionSimulation
bytesToGigabytes(long) - Static method in class benchmark.simulation.Simulation

C

capturingHM - Variable in class game.MoveGenerator
clone() - Method in class game.MoveGenerator
closenessWeight - Static variable in class search.ab.Evaluation
closenessWeightTotal - Static variable in class search.ab.Evaluation
color - Variable in class benchmark.simulation.ConnectionSimulation.GameResult
color - Variable in class benchmark.simulation.Simulation.GameResult
Color - Enum Class in game: Enumeration representing piece colors used in the game.
communication - package communication
connect() - Method in class communication.Connection: Connects to the game server and manages game play.
Connection - Class in communication: Handles connection and communication with the game server.
Connection(boolean, boolean) - Constructor for class communication.Connection: Constructs a Connection object.
Connection(boolean, boolean, double, boolean) - Constructor for class communication.Connection: Constructs a Connection object.
ConnectionSimulation - Class in benchmark.simulation: ConnectionSimulation of full games between two AIs.
ConnectionSimulation() - Constructor for class benchmark.simulation.ConnectionSimulation
ConnectionSimulation.GameResult - Class in benchmark.simulation: Class to represent the result of a game, including the winning AI and the color.
ConnectionSimulationConfig - Class in benchmark.simulation: Configuration for a connection simulation.
ConnectionSimulationConfig(double, double, double, int, int, double, boolean, int, int, double) - Constructor for class benchmark.simulation.ConnectionSimulationConfig: Constructs a new ConnectionSimulationConfig with the specified parameters.
continueSearch(double) - Method in class search.mcts.MCTS: Checks whether the search should continue based on the end time-
convertAllMoves(Map<Integer, List<Integer>>) - Static method in class game.MoveGenerator: Converts a map of possible combined integer moves to a formatted FEN string representation.
convertMovesToList(LinkedHashMap<Integer, List<Integer>>) - Static method in class search.ab.Evaluation: Converts a map of moves to a list for easier manipulation.
convertMovesToMap(List<Integer>) - Static method in class search.ab.Evaluation: Converts a list of moves (as combined integers) back to a map representation.
convertMoveToFEN(int) - Static method in class game.MoveGenerator: Convert a combined integer move to FEN notation.
convertPosToString(int) - Static method in class game.MoveGenerator: Convert a combined integer position to a string representation.
convertStringToPos(String) - Static method in class game.MoveGenerator: Convert a string position to a combined integer position.
convertStringToPosWrapper(String) - Method in class game.MoveGenerator: Convert a FEN move to an array of two combined integer positions.
copy() - Method in class search.SearchConfig: Method to create a copy of this configuration.

D

debug - package debug
Debugger - Class in debug: Debugging tool for analyzing move order of an AI.
Debugger() - Constructor for class debug.Debugger
depths - Variable in class benchmark.simulation.ConnectionSimulation.GameResult
depths - Variable in class benchmark.simulation.Simulation.GameResult
doesBaseRowContainColor(Color, int) - Method in class game.MoveGenerator: Checks if a specific row on the board contains any pieces of a given color.
DOUBLE - Enum constant in enum class game.Piece
doubleWeight - Static variable in class search.ab.Evaluation
dynamicTime - Variable in class search.SearchConfig

E

EMPTY - Enum constant in enum class game.Color
EMPTY - Enum constant in enum class game.Piece
Evaluation - Class in search.ab: Provides methods for evaluating game positions.
Evaluation() - Constructor for class search.ab.Evaluation
expandAndReturnRandomNode(MCTSNode, MoveGenerator, Color, LinkedList<Integer>) - Method in class search.mcts.MCTS: Expands the given MCTS node by creating new child nodes for each possible move and returns one of the created child nodes at random.

G

game - package game
GameLog - Class in debug: Reads a log file containing game logs and outputs a visual representation to a text file.
GameLog() - Constructor for class debug.GameLog
GameResult(int, Color, ArrayList<Integer>) - Constructor for class benchmark.simulation.ConnectionSimulation.GameResult
GameResult(int, Color, ArrayList<Integer>) - Constructor for class benchmark.simulation.Simulation.GameResult
generateAllPossibleMoves(Color) - Method in class game.MoveGenerator: Generates all possible moves for a specific color.
generateAllPossibleMovesCaptures(Color) - Method in class game.MoveGenerator: Generates all possible capturing moves for a specific color.
generateMaxOnePossibleMoveForAI(Color) - Method in class game.MoveGenerator: Generates a maximum of one possible move for a given color.
GeneticAlgorithm - Class in search.optimisation: Implementation of a Genetic Algorithm to optimize weights for evaluating game states in a specific game scenario.
GeneticAlgorithm() - Constructor for class search.optimisation.GeneticAlgorithm
GeneticAlgorithm.Individual - Class in search.optimisation: Represents an individual in the genetic algorithm population, with specific weights for evaluating game states.
getBestMove(String) - Method in class search.ab.Minimax_AB: Determines the best move for a given board state represented by a FEN string.
getBestMove(MCTSNode) - Method in class search.mcts.MCTS: Determines the average wins per visit for each child of a give node and chooses the child that maximizes this value.
getBestMoveNoAlphaBeta(String) - Method in class search.Minimax_noAB: Finds the best move using the Minimax algorithm without Alpha-Beta pruning.
getColor(char) - Method in class game.MoveGenerator: Get the color from a character representation.
getColorAtPosition(int) - Method in class game.MoveGenerator: Get the piece color at a specific position on the board.
getColorBoard() - Method in class game.MoveGenerator
getFenFromBoard() - Method in class game.MoveGenerator: Get the FEN string representation of the current board state.
getMove(String, Color) - Method in class app.Player: Gets a valid move from the player.
getMovesWrapper(String) - Method in class game.MoveGenerator: Retrieves all possible moves for a given board FEN string.
getNodeValue() - Method in class search.mcts.MCTSNode: Calculates the node's value using the UCB1 formula.
getPieceAtPosition(int) - Method in class game.MoveGenerator: Get the piece at a specific position on the board.
getPieceBoard() - Method in class game.MoveGenerator
getProtectedPieces() - Method in class game.MoveGenerator
getRandomMove(LinkedHashMap<Integer, List<Integer>>) - Method in class game.MoveGenerator: Retrieves a random move from a map of possible moves.
getRandomMoveInt(LinkedHashMap<Integer, List<Integer>>) - Method in class game.MoveGenerator: Generates a random move from the given possible moves.
getScore(Piece, double, double) - Static method in class search.ab.Evaluation: Computes the score (contribution) of a piece based on its type and weight.
getScoreWrapper(MoveGenerator, Color, double) - Static method in class search.ab.Evaluation: Computes the score of the current game position for a specified player.
getScoreWrapperAI(MoveGenerator, Color, double, LinkedHashMap<Integer, List<Integer>>) - Static method in class search.ab.Evaluation: Computes the score of the current game position for a player considering opponent's moves.
getScoreWrapperOld(MoveGenerator, Color, String) - Static method in class search.ab.Evaluation: Computes the score of the current game position for a specified player in an old version for benchmarking.
getTotalPossibleMoves() - Method in class game.MoveGenerator
getWinner(LinkedHashMap<Integer, List<Integer>>, Color) - Method in class game.MoveGenerator: Determines the winner for the Monte Carlo Tree Search (MCTS) strategy (only use when confirmed that game is over).

I

initializeBoard() - Method in class game.MoveGenerator: Initialize the board(s) with starting position.
initializeBoard(String) - Method in class game.MoveGenerator: Initialize the board based on the provided FEN string.
isFullyExpanded() - Method in class search.mcts_lib.MCTSNode_lib: Checks if every child node of this node has been visited at least once.
isGameOver(Color) - Method in class game.MoveGenerator: Checks if the game is over for a specific color based on current board state.
isGameOver(String, Color) - Method in class game.MoveGenerator: Checks if the game is over for a specific color after a given move.
isGameOver(LinkedHashMap<Integer, List<Integer>>, Color) - Method in class game.MoveGenerator: Checks if the game is over for a specific color based on available moves.
isGameOverMCTS(LinkedHashMap<Integer, List<Integer>>, Color) - Method in class game.MoveGenerator: Checks if the game is over for the Monte Carlo Tree Search (MCTS) strategy and returns the result.
isGameOverMCTS_lib(LinkedHashMap<Integer, List<Integer>>) - Method in class game.MoveGenerator: Checks if the game is over for the Monte Carlo Tree Search (MCTS) strategy.
isOnBaseLineForColor() - Method in class search.mcts.MCTSNode: Checks if the node's move is on the baseline of the enemy.
isValidMove(int, Color) - Method in class game.MoveGenerator: Checks if a move is valid for a piece of the given color.
isWinForMCTS(Color) - Method in class game.MoveGenerator: Checks if the game is a win for the Monte Carlo Tree Search (MCTS) strategy.
iterativeDeepening(MoveGenerator, double, Color) - Method in class search.ab.Minimax_AB: Performs an iterative deepening search to find the best move score within the given time limit.
iterativeDeepeningNoAlphaBeta(MoveGenerator, Color, Color, int) - Method in class search.Minimax_noAB: Performs iterative deepening search using the Minimax algorithm without Alpha-Beta pruning.

M

main(String[]) - Static method in class app.Orchestrator: Main method to start the game with a specific initial board state.
main(String[]) - Static method in class benchmark.MCTSBM: Main method to run the benchmarks and print results to a file.
main(String[]) - Static method in class benchmark.Minimax_ABBM: Main method to run the benchmarks and print results to a file.
main(String[]) - Static method in class benchmark.Minimax_noABBM: Main method to run the benchmarks and print results to a file.
main(String[]) - Static method in class benchmark.MoveGeneratorBM: Main method to run the benchmarks and print results to a file.
main(String[]) - Static method in class benchmark.simulation.ConnectionSimulation: Main method to run a simulation between two AIs using predefined configurations and an initial board state.
main(String[]) - Static method in class benchmark.simulation.Simulation: Main method to run a simulation between two AIs using predefined configurations and an initial board state.
main(String[]) - Static method in class communication.Connection: Main method to start the connection and game play.
main(String[]) - Static method in class debug.Debugger: Main method to start the simulation of the move order and output to a file.
main(String[]) - Static method in class debug.GameLog: Main method to execute the game log processing.
main(String[]) - Static method in class search.mcts_lib.OpeningBookGenerator
main(String[]) - Static method in class search.optimisation.GeneticAlgorithm: Main method that executes the Genetic Algorithm to optimize weights.
maxAllowedDepth - Variable in class search.SearchConfig
maxDepth - Variable in class search.ab.Minimax_AB
MCTS - Class in search.mcts: An implementation of a Monte Carlo Tree Search for the game Jump Sturdy.
MCTS() - Constructor for class search.mcts.MCTS
MCTS_lib - Class in search.mcts_lib: Implementation of Monte Carlo Tree Search (MCTS) for creating an opening library document.
MCTS_lib() - Constructor for class search.mcts_lib.MCTS_lib
MCTSBM - Class in benchmark: Benchmarking class for the MCTS.
MCTSBM() - Constructor for class benchmark.MCTSBM
MCTSNode - Class in search.mcts: Represents a node in the Monte Carlo Tree Search (MCTS) tree.
MCTSNode(Color) - Constructor for class search.mcts.MCTSNode: Constructs an MCTSNode Root node only needing the Color as a parameter
MCTSNode(MCTSNode, int, Color) - Constructor for class search.mcts.MCTSNode: Constructs any MCTSNode with a specified parent, move, move generator, and color.
MCTSNode_lib - Class in search.mcts_lib: Class of nodes for the MCTS-algorithm for creating an opening-library-document.
MCTSNode_lib(int, MCTSNode_lib, int) - Constructor for class search.mcts_lib.MCTSNode_lib: Constructs a new MCTSNode_lib object.
Minimax_AB - Class in search.ab: An implementation of a Minimax Search for the game Jump Sturdy with Alpha-Beta Pruning, Aspiration Windows, Transposition Tables and a Quiescence Search.
Minimax_AB() - Constructor for class search.ab.Minimax_AB
Minimax_ABBM - Class in benchmark: Benchmarking class for the Minimax_AB.
Minimax_ABBM() - Constructor for class benchmark.Minimax_ABBM
Minimax_noAB - Class in search: An implementation of a Minimax Search for the game Jump Sturdy without Alpha-Beta Pruning,.
Minimax_noAB() - Constructor for class search.Minimax_noAB
Minimax_noABBM - Class in benchmark: Benchmarking class for the Minimax_noAB.
Minimax_noABBM() - Constructor for class benchmark.Minimax_noABBM
MIXED - Enum constant in enum class game.Piece
mixedWeight - Static variable in class search.ab.Evaluation
MoveGenerator - Class in game: Responsible for managing the Jump Sturdy game logic.
MoveGenerator() - Constructor for class game.MoveGenerator
MoveGeneratorBM - Class in benchmark: Benchmarking class for the MoveGenerator.
MoveGeneratorBM() - Constructor for class benchmark.MoveGeneratorBM
moveOrder(String, String, int) - Static method in class debug.Debugger: Simulates a sequence of moves and prints board states after each move.
movePiece(int) - Method in class game.MoveGenerator: Moves a piece from a combined integer start end position.
movePiece(int, int) - Method in class game.MoveGenerator: Moves a piece from the combined integer start position to the end position on the board.

N

number - Variable in class benchmark.simulation.ConnectionSimulation.GameResult
number - Variable in class benchmark.simulation.Simulation.GameResult
numberOfAllSimulations - Variable in class search.mcts.MCTS

O

OpeningBookGenerator - Class in search.mcts_lib: Creates a library-file for the first 3 moves with the best response-move for every possible move of the opponent using the MCTS-algorithm.
OpeningBookGenerator() - Constructor for class search.mcts_lib.OpeningBookGenerator
orchestrator(String, SearchConfig) - Method in class search.ab.Minimax_AB
orchestrator(String, SearchConfig) - Method in class search.AI: Orchestrates the AI on the given FEN position and search configuration.
orchestrator(String, SearchConfig) - Method in class search.mcts.MCTS
orchestrator(String, SearchConfig) - Method in class search.Minimax_noAB
orchestrator(String, SearchConfig) - Method in class search.RandomAI
Orchestrator - Class in app: Orchestrates and manages the gameplay between a human player and an AI player.
Orchestrator() - Constructor for class app.Orchestrator
orderMoves(LinkedList<Integer>, Color, MoveGenerator) - Static method in class search.ab.Evaluation: Orders moves in a list based on whether a move winning, capturing, and closeness to target row.
orderMovesOld(LinkedList<Integer>, Color) - Static method in class search.ab.Evaluation: Orders moves in a list in an old version for benchmarking based on whether a move winning and closeness to target row.

P

Piece - Enum Class in game: Enumeration representing types of pieces used in the game.
Player - Class in app: Represents a player in a game.
Player() - Constructor for class app.Player
playGame() - Static method in class search.optimisation.GeneticAlgorithm: Simulates playing a full game using a specific set of weights for evaluation.
playGame(String) - Static method in class app.Orchestrator: Plays a game between a human player and an AI.
playGame(AI, SearchConfig, AI, SearchConfig, String, boolean) - Static method in class benchmark.simulation.Simulation: Plays a full game between two AIs using the provided configurations and initial board state.
playGame(AI, SearchConfig, AI, SearchConfig, String, boolean, ConnectionSimulationConfig, ConnectionSimulationConfig) - Static method in class benchmark.simulation.ConnectionSimulation: Plays a full game between two AIs using the provided configurations and initial board state.
positionsHM - Variable in class search.ab.Minimax_AB
positionsHM - Variable in class search.Minimax_noAB
possibleMovesWeight - Static variable in class search.ab.Evaluation
printBoard(boolean) - Method in class game.MoveGenerator: Prints the current state of the board to the console.
propagateDataToRoot(MCTSNode, int, Color) - Method in class search.mcts.MCTS: Propagates the results of a simulation back up to the root of the Monte Carlo Tree Search (MCTS) tree.
protectedPiecesWeight - Static variable in class search.ab.Evaluation

Q

qSDepth - Variable in class search.SearchConfig
quiescenceSearch(MoveGenerator, double, double, Color, Color) - Method in class search.ab.Minimax_AB: Performs a quiescence search to evaluate positions more accurately by only exploring capture moves.

R

RandomAI - Class in search
RandomAI() - Constructor for class search.RandomAI
rateMove(MoveGenerator, Color, int, int, int) - Method in class search.ab.Evaluation: Rates a move in the game based on its impact on the game position for a specified player.
ratePosition(MoveGenerator, Color, int) - Static method in class search.ab.Evaluation: Rates the overall position of the game for a specified player.
ratePositionAI(MoveGenerator, Color, int, LinkedHashMap<Integer, List<Integer>>, Color) - Static method in class search.ab.Evaluation: Rates the overall position of the game for a player considering opponent's moves.
ratePositionOld(MoveGenerator, Color, String) - Static method in class search.ab.Evaluation: Rates the overall position of the game for a specified player in an old version for benchmarking.
readFileAndFillBib(String) - Method in class communication.Connection: Fills the startingBib HashMap with precalculated starting moves.
readFileAndFillBib(String, int, HashMap<String, String>) - Static method in class benchmark.simulation.ConnectionSimulation: Fills the startingBib HashMap with precalculated starting moves.
RED - Enum constant in enum class game.Color
runMCTS(MoveGenerator, Color) - Method in class search.mcts_lib.MCTS_lib: Runs the Monte Carlo Tree Search (MCTS) algorithm to determine the best move.
runOBG(boolean) - Method in class search.mcts_lib.OpeningBookGenerator: Runs the openingBookGenerator.

S

search - package search
search.ab - package search.ab
search.mcts - package search.mcts
search.mcts_lib - package search.mcts_lib
search.optimisation - package search.optimisation
SearchConfig - Class in search: Configuration class for defining search algorithm parameters.
SearchConfig(boolean, double, boolean, double, boolean, int, boolean, boolean, int) - Constructor for class search.SearchConfig: Constructor to initialize all configuration parameters.
setColorBoard(Color[][]) - Method in class game.MoveGenerator: Set the color board.
setPieceBoard(Piece[][]) - Method in class game.MoveGenerator: Set the piece board.
showConfig() - Method in class search.ab.Minimax_AB
showConfig() - Method in class search.AI: Returns the configuration of the AI.
showConfig() - Method in class search.mcts.MCTS
showConfig() - Method in class search.Minimax_noAB
showConfig() - Method in class search.RandomAI
simulate(AI, SearchConfig, AI, SearchConfig, String, int, boolean) - Method in class benchmark.simulation.Simulation: Simulates a series of games between two AIs using the provided configurations and initial board state.
simulate(AI, SearchConfig, AI, SearchConfig, String, int, boolean, ConnectionSimulationConfig, ConnectionSimulationConfig) - Method in class benchmark.simulation.ConnectionSimulation: Simulates a series of games between two AIs using the provided configurations and initial board state.
simulateToEnd(Color, MoveGenerator, Color) - Method in class search.mcts.MCTS: Simulates the game to the end using a probabilistic approach weighted by the number of possible moves or each player.
Simulation - Class in benchmark.simulation: ConnectionSimulation of full games between two AIs.
Simulation() - Constructor for class benchmark.simulation.Simulation
Simulation.GameResult - Class in benchmark.simulation: Class to represent the result of a game, including the winning AI and the color.
SINGLE - Enum constant in enum class game.Piece
switchMCTS - Variable in class communication.Connection

T

timeCriterion - Variable in class search.SearchConfig
timeLimit - Variable in class search.mcts_lib.MCTS_lib
timeLimit - Variable in class search.SearchConfig
toString() - Method in class benchmark.simulation.ConnectionSimulationConfig
toString() - Method in class search.AI
toString() - Method in class search.optimisation.GeneticAlgorithm.Individual: Provides a string representation of the individual, including its weights and fitness.
transpositionTable - Variable in class search.ab.Minimax_AB
TranspositionTableObject - Class in search.ab: Represents an entry in the transposition table used for optimizing the search algorithm.
TranspositionTableObject(double, LinkedList<Integer>, int) - Constructor for class search.ab.TranspositionTableObject: Constructs a new TranspositionTableObject with the position rating, a list of moves, and the search depth.
transpositionTables - Variable in class search.SearchConfig
treePolicy(MoveGenerator, MCTSNode, Color) - Method in class search.mcts.MCTS: Executes the tree policy for the Monte Carlo Tree Search (MCTS) algorithm.
treeSearch(MoveGenerator, double, double, double, int, Color, Color) - Method in class search.ab.Minimax_AB: Executes a recursive tree search with alpha-beta pruning to evaluate game positions and find the best possible move for the current player.
treeSearchNoAlphaBeta(MoveGenerator, int, Color, Color, double) - Method in class search.Minimax_noAB: Performs the Minimax search without Alpha-Beta pruning.
treeTraversal(double, MCTSNode, MoveGenerator) - Method in class search.mcts.MCTS: Performs a tree traversal in the Monte Carlo Tree Search (MCTS) algorithm.

U

updateNode(MoveGenerator) - Method in class search.mcts.MCTSNode: Updates the node to determine if it has won in its position.
useOpeningLib - Variable in class communication.Connection
useQuiescenceSearch - Variable in class search.SearchConfig

V

valueOf(String) - Static method in enum class game.Color: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class game.Piece: Returns the enum constant of this class with the specified name.
values() - Static method in enum class game.Color: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class game.Piece: Returns an array containing the constants of this enum class, in the order they are declared.

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