All Classes and Interfaces

Class	Description
AI	Interface for defining an AI.
Color	Enumeration representing piece colors used in the game.
Connection	Handles connection and communication with the game server.
ConnectionSimulation	ConnectionSimulation of full games between two AIs.
ConnectionSimulation.GameResult	Class to represent the result of a game, including the winning AI and the color.
ConnectionSimulationConfig	Configuration for a connection simulation.
Debugger	Debugging tool for analyzing move order of an AI.
Evaluation	Provides methods for evaluating game positions.
GameLog	Reads a log file containing game logs and outputs a visual representation to a text file.
GeneticAlgorithm	Implementation of a Genetic Algorithm to optimize weights for evaluating game states in a specific game scenario.
GeneticAlgorithm.Individual	Represents an individual in the genetic algorithm population, with specific weights for evaluating game states.
MCTS	An implementation of a Monte Carlo Tree Search for the game Jump Sturdy.
MCTS_lib	Implementation of Monte Carlo Tree Search (MCTS) for creating an opening library document.
MCTSBM	Benchmarking class for the MCTS.
MCTSNode	Represents a node in the Monte Carlo Tree Search (MCTS) tree.
MCTSNode_lib	Class of nodes for the MCTS-algorithm for creating an opening-library-document.
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.
Minimax_ABBM	Benchmarking class for the Minimax_AB.
Minimax_noAB	An implementation of a Minimax Search for the game Jump Sturdy without Alpha-Beta Pruning,.
Minimax_noABBM	Benchmarking class for the Minimax_noAB.
MoveGenerator	Responsible for managing the Jump Sturdy game logic.
MoveGeneratorBM	Benchmarking class for the MoveGenerator.
OpeningBookGenerator	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.
Orchestrator	Orchestrates and manages the gameplay between a human player and an AI player.
Piece	Enumeration representing types of pieces used in the game.
Player	Represents a player in a game.
RandomAI
SearchConfig	Configuration class for defining search algorithm parameters.
Simulation	ConnectionSimulation of full games between two AIs.
Simulation.GameResult	Class to represent the result of a game, including the winning AI and the color.
TranspositionTableObject	Represents an entry in the transposition table used for optimizing the search algorithm.