Method and system for operating instances of a game
Disclosed is a computer-implemented method of (and system for) operating instances of a game having a plurality of game positions that can be occupied by players, such as a poker-type game. The method comprises assigning a player a plurality of weights relating to game positions, where each weight indicates a bias towards placement of the player at a game position. When a player has played in a first game at a given position, the weights are updated to indicate an altered bias towards placement at each position. The player is then assigned to a second game based on the updated weights.
1. A computer-implemented method of operating instances of a game having a plurality of game positions that can be occupied by players, the method comprising:
associating with a player a plurality of weights relating to respective game positions, each weight indicative of a respective bias towards placement of the player at the respective game position;
initialising the weights prior to participation of the player in a game,
wherein initialising comprises setting the weight for a selected starting position to a given value indicating a first bias towards placement of the player at the starting position, and setting the weights for other positions to one or more other values indicating a lower bias towards placement at those positions relative to the first bias,
wherein setting the weight for the selected starting position comprising calculating the average weight for that starting position, where
AvgWeight
=
1
N
(
1
-
(
(
N
-
1
N
)
TableSize
)
)
where N is a configurable parameter and TableSize is the number of players at a full table;
in response to participation of a player in a first game instance at a given game position, updating each of the plurality of weights to indicate an altered bias towards placement at each respective position; and
assigning the player to a second game instance based on one or more of the updated weights.
2. A method according to claim 1 , wherein the updating step is performed in dependence on the given game position occupied by the player in the first game instance.
3. A method according to claim 1 , wherein the updating step comprises updating the weight for the given game position to indicate a reduced bias towards placement at that position.
4. A method according to claim 1 , comprising updating the weights for one or more of the positions other than the given game position to indicate an increased bias towards placement at the one or more positions.
5. A method according to claim 4 , wherein updating weights for positions other than the given game position maintains an ordering of those weights relative to each other.
6. A method according to claim 1 , wherein the weights are updated so that, after updating, the weight for the given game position indicates a lowest bias towards placement at that position relative to the weights for the other positions.
7. A method according to claim 1 , wherein updating a weight comprises multiplying the weight by an update factor.
8. A method according to claim 1 , wherein updating a weight corresponding to the given game position comprises one or both of: multiplying the weight by an update factor, and adding a predetermined weight value.
9. A method according to claim 8 , wherein the update factor is selected in dependence on a number of game positions in the game.
10. A method according to claim 1 , wherein N is equal to three times TableSize.
11. A method according to claim 1 , wherein setting the weight for subsequent game positions, following play order comprises setting the weight as follows:
SW j+1 =( N− 1)SW j /N.
12. A method according to claim 1 , wherein initialising comprises setting the weights to respective values indicating a bias ordering of the game positions matching a predetermined game position order.
13. A method according to claim 1 , wherein the assigning step comprises:
for a given game position in the second game instance, selecting the player from a plurality of players based on comparing the player weight for the given game position to weights for the given position associated with one or more other players.
14. A method according to claim 1 , wherein the assigning step comprises assigning the player further based on a time value associated with the player.
15. A method according to claim 1 , wherein the assigning step comprises: for a given game position in the second game instance, computing a bias measure indicating a bias towards placement of the player at the given game position in dependence on the player weight for the given game position and a time value associated with the player.
16. A method according to claim 15 , wherein the bias measure is computed such that an increase in the time value results in an increased bias towards placement of the player.
17. A method according to 14 , wherein the time value indicates a player idle time or wait time, preferably a time since the player ceased participating in the first game instance.
18. A method according to claim 1 , comprising, for a given game position in the second game instance, computing a bias measure relating to the game position for each of a plurality of players; selecting the player having a bias value indicating the greatest bias towards placement at the given game position; and assigning the selected player to the second game instance at the given game position.
19. A method according to claim 1 , comprising assigning the player to the second game instance in response to a player action in the first game instance.
20. A method according to claim 19 , wherein the player action comprises withdrawal from the game or a game round.
21. A method according to claim 1 , comprising connecting the player to the second game instance while maintaining the player's connection to the first game instance.
22. A method according to claim 1 , wherein the assigning step is performed in accordance with a placement algorithm.
23. A method according to claim 19 , wherein the placement algorithm is selected, or one or more parameters of the placement algorithm are varied, in dependence on a number of participating players.
24. A method according to claim 19 , wherein the placement algorithm is initiated in response to a triggering condition, the triggering condition preferably comprising one or both of: expiry of a time limit; and a number of idle players exceeding a threshold.
25. A computer-implemented method of operating instances of a game having a plurality of game positions that can be occupied by players, the method comprising: initiating a game instance and initializing weights for each player relating to respective starting game positions,
wherein setting the weight for the selected starting position comprising calculating the average weight for that starting position, where
AvgWeight
=
1
N
(
1
-
(
(
N
-
1
N
)
TableSize
)
)
where N is a configurable parameter and TableSize is the number of players at a full table; for each game position in the game instance, assigning a player to the game position, wherein the assigning comprises, for a given game position:
for each of a plurality of players available for assignment to the given game position, calculating a bias measure indicating a bias towards placement of the player in the respective position, wherein the bias measure is calculated in dependence on (i) position weighting information associated with the player, and (ii) wait time information indicating a time the player has been waiting to be assigned to a game;
selecting one of the plurality of available players in dependence on the calculated bias measures; and
assigning the selected player to the given game position.
26. A method according to claim 25 , wherein the selecting step comprises selecting the player having a bias measure indicating the greatest bias towards placement at the given game position.
27. A method according to claim 25 , wherein the selecting step comprises 5 selecting the player having the lowest or highest bias measure.
28. A computer-implemented method of operating instances of a game having a plurality of game positions that can be occupied by players, the method comprising:
for each of a plurality of players, associating with the player:
a plurality of weights relating to a plurality of respective game positions, each weight indicative of a respective bias towards placement of the player at the respective game position; and
an idle indicator for indicating whether the player is currently participating in a game or is idle;
initiating an instance of the game;
initialising the weights,
wherein initialising comprises setting the weight for a selected starting position to a given value indicating a first bias towards placement of the player at the starting position, and setting the weights for other positions to one or more other values indicating a lower bias towards placement at those positions relative to the first bias,
wherein setting the weight for the selected starting position comprising calculating the average weight for that starting position, where
AvgWeight
=
1
N
(
1
-
(
(
N
-
1
N
)
TableSize
)
)
where N is a configurable parameter and TableSize is the number of players at a full table; for each game position associated with the game instance, selecting one of the plurality of players in dependence on the players' idle indicators and weights for the game position, and assigning the selected player to the game position; and
updating each of the plurality of weights associated with an assigned player to indicate an altered bias towards placement of the assigned player at each respective position.
29. A method according to claim 28 , comprising:
in response to cessation of a given player's participation in the game instance, setting the idle indicator for the player to indicate that the player is idle.
30. A method according to claim 28 , wherein the selecting step selects only idle players according to their idle indicators.
31. A method according to claim 26 , further comprising associating an idle time with players indicated as being idle by the idle indicator, and wherein the selecting step selects a player for a game position further in dependence on the players' idle times.