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Go to the source code of this file.
Classes | |
struct | Eval |
evaluation function More... | |
Typedefs | |
typedef struct Eval | Eval |
evaluation function More... | |
Functions | |
void | eval_open (const char *) |
Load the evaluation function features' weights. More... | |
void | eval_close (void) |
Free global resources allocated to the evaluation function. More... | |
void | eval_init (Eval *) |
Initialize a new evaluation function. More... | |
void | eval_free (Eval *) |
Free resources used by the evaluation function. More... | |
void | eval_set (Eval *, const struct Board *) |
void | eval_update (Eval *, const struct Move *) |
void | eval_restore (Eval *, const struct Move *) |
void | eval_pass (Eval *) |
Update/Restore the features after a passing move. More... | |
double | eval_sigma (const int, const int, const int) |
Compute the error-type of the evaluation function according to the depths. More... | |
Variables | |
short *** | EVAL_WEIGHT |
Evaluation function's header.
void eval_close | ( | void | ) |
Free global resources allocated to the evaluation function.
void eval_free | ( | Eval * | eval | ) |
Free resources used by the evaluation function.
eval | Evaluation function. |
void eval_init | ( | Eval * | eval | ) |
Initialize a new evaluation function.
Allocate space to store the state of the evaluation function.
eval | Evaluation function. |
void eval_open | ( | const char * | file | ) |
Load the evaluation function features' weights.
The weights are stored in a global variable, because, once loaded from the file, they stay constant during the lifetime of the program. As loading the weights is time & resource consuming, a counter variable check that the weights are effectively loaded only once.
file | File name of the evaluation function data. |
void eval_pass | ( | Eval * | eval | ) |
Update/Restore the features after a passing move.
eval | Evaluation function. |
double eval_sigma | ( | const int | n_empty, |
const int | depth, | ||
const int | probcut_depth | ||
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Compute the error-type of the evaluation function according to the depths.
A statistical study showed that the accuracy of the alphabeta mostly depends on the depth & the ply of the game. This function is useful to the probcut algorithm. Using a function instead of a table of data makes easier to inter- or extrapolate new values.
n_empty | Number of empty squares on the board. |
depth | Depth used in alphabeta. |
probcut_depth | A shallow depth used in probcut algorithm. |
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extern |
eval weights