Uses of Class
search.AI

Packages that use AI

Package	Description
benchmark.simulation
search
search.ab
search.mcts

Uses of AI in benchmark.simulation

Methods in benchmark.simulation with parameters of type AI

Modifier and Type	Method	Description
static ConnectionSimulation.GameResult	ConnectionSimulation.playGame(AI firstAI, SearchConfig firstConfig, AI secondAI, SearchConfig secondConfig, String fen, boolean showGame, ConnectionSimulationConfig timeConfigFirst, ConnectionSimulationConfig timeConfigSecond)	Plays a full game between two AIs using the provided configurations and initial board state.
static Simulation.GameResult	Simulation.playGame(AI firstAI, SearchConfig firstConfig, AI secondAI, SearchConfig secondConfig, String fen, boolean showGame)	Plays a full game between two AIs using the provided configurations and initial board state.
void	ConnectionSimulation.simulate(AI firstAI, SearchConfig firstConfig, AI secondAI, SearchConfig secondConfig, String fen, int iterations, boolean showGame, ConnectionSimulationConfig timeConfigFirst, ConnectionSimulationConfig timeConfigSecond)	Simulates a series of games between two AIs using the provided configurations and initial board state.
void	Simulation.simulate(AI firstAI, SearchConfig firstConfig, AI secondAI, SearchConfig secondConfig, String fen, int iterations, boolean showGame)	Simulates a series of games between two AIs using the provided configurations and initial board state.

Uses of AI in search

Subclasses of AI in search

Modifier and Type	Class	Description
class	Minimax_noAB	An implementation of a Minimax Search for the game Jump Sturdy without Alpha-Beta Pruning,.
class	RandomAI

Uses of AI in search.ab

Subclasses of AI in search.ab

Modifier and Type	Class	Description
class	Minimax_AB	An implementation of a Minimax Search for the game Jump Sturdy with Alpha-Beta Pruning, Aspiration Windows, Transposition Tables and a Quiescence Search.

Uses of AI in search.mcts

Subclasses of AI in search.mcts

Modifier and Type	Class	Description
class	MCTS	An implementation of a Monte Carlo Tree Search for the game Jump Sturdy.