Find an action with the alpha-beta algorithm. More...

#include <game_ai.hpp>

Public Types
typedef State	state
	The type of a state in the game.
typedef State::action	action
	The type of the actions that change the state of the game.
typedef State::score	score
	The type used to represent the score.

Public Member Functions
score	operator() (int depth, const state &current_state, bool computer_turn) const
	Apply the alpha-beta algorithm to find the best action.

Detailed Description

Find an action with the alpha-beta algorithm.

Template parameters:

Definition at line 167 of file game_ai.hpp.

Member Function Documentation

template<typename State >

State::score claw::ai::game::alpha_beta< State >::operator()	(	int	depth,
		const state &	current_state,
		bool	computer_turn
	)		const

Apply the alpha-beta algorithm to find the best action.

Parameters

depth	Depth of the search subtree we are allowed to explore.
current_state	The state of the game.
computer_turn	Tell if the next action is done by the computer.

Definition at line 221 of file game_ai.tpp.

The documentation for this class was generated from the following files: