AI Players - Revision history

Staffan Björk at 08:09, 21 September 2016

2016-09-21T08:09:15Z

Staffan Björk at 07:54, 8 August 2015

2015-08-08T07:54:24Z

Staffan Björk at 07:48, 31 July 2015

2015-07-31T07:48:45Z

Staffan Björk at 07:48, 31 July 2015

2015-07-31T07:48:00Z

Staffan Björk at 07:39, 16 July 2015

2015-07-16T07:39:28Z

Staffan Björk at 19:31, 2 July 2015

2015-07-02T19:31:21Z

Staffan Björk at 21:34, 16 January 2015

2015-01-16T21:34:57Z

Staffan Björk: /* Can Instantiate */

2015-01-15T09:02:54Z

‎Can Instantiate

Staffan Björk at 09:02, 15 January 2015

2015-01-15T09:02:23Z

Staffan Björk at 21:53, 9 January 2015

2015-01-09T21:53:23Z

@@ Line 18: / Line 18: @@
 The creation of [[AI Players]] is the design of [[Algorithmic Agents]] that can take the role of players. This means that the [[Algorithmic Agents]] need to have an [[Own Agenda]] of winning the game or playing as good as possible, and may need to display [[Emotional Attachment]] to the outcomes as a substitute for the [[Social Interaction]] that commonly occurs among people playing the same game. For games with [[Parties]] or [[Teams]], it also means that they have to be able to work within these, possibly including supporting [[Team Combos]]. While [[Team Strategy Identification]] can be demanding to support (due to the need for [[Negotiation]]) this can be mitigated through the possibility to express suggestions or orders as [[Performative Utterances]] and have the [[AI Players]] have the [[Enforced Agent Behavior]] to always follows these.
-One aspect of this design is to consider if the choice of using [[AI Players]] can only be done at the beginning of them game or if this can change during gameplay. The first option allows [[Multiplayer Games]] can have more players than people playing it or than they can be played as if they were [[Single-Player Games]] while avoiding problems of [[Game Balance]] and [[Team Balance]] due to changes in players. The second option allows [[Late Arriving Players]] and [[Drop-In/Drop-Out]] that give players' a [[Freedom of Choice]] in how to synchronized their own play sessions with other players, but which may have problems with [[Game Balance]] and [[Team Balance]] unless they are pure [[Cooperation]] games. A special case here may be [[Mules]], which are started by players (possibly after being created and programmed by them) to fill in for them to do [[Grinding]] (the parodical game [[Progress Quest]] can be seen as only letting a human set up a [[Mules|Mule]] and nothing else).
+One aspect of this design is to consider if the choice of using [[AI Players]] can only be done at the beginning of them game or if this can change during gameplay. The first option allows [[Multiplayer Games]] can have more players than people playing it or than they can be played as if they were [[Single-Player Games]] while avoiding problems of [[Player Balance]] and [[Team Balance]] due to changes in players. The second option allows [[Late Arriving Players]] and [[Drop-In/Drop-Out]] that give players' a [[Freedom of Choice]] in how to synchronized their own play sessions with other players, but which may have problems with [[Player Balance]] and [[Team Balance]] unless they are pure [[Cooperation]] games. A special case here may be [[Mules]], which are started by players (possibly after being created and programmed by them) to fill in for them to do [[Grinding]] (the parodical game [[Progress Quest]] can be seen as only letting a human set up a [[Mules|Mule]] and nothing else).
 One less common choice for [[AI Players]] is make the game design demand that all players are [[AI Players]]. While not necessary, this is typically combined with letting players have the [[Creative Control]] to program the [[AI Players]] as is done in [[Crobots]] and [[P-Robots]]. Another uncommon choice for [[AI Players]] is to based them on [[Replays]]. Here the reason it is uncommon is probably because gameplay typically involves much interaction between the players which a recording is unlikely to be able to match up to (but see the [[ESP Game]]). [[Ghosts]] are close to this solution but clearly discernible as [[Replays]] and are thereby not perceived as players, in addition to not being able to interact with other game elements.
@@ Line 104: / Line 104: @@
 === Potentially Conflicting With ===
-[[Game Balance]], [[Player Balance]], [[Mimetic Interfaces]],
+[[Player Balance]], [[Mimetic Interfaces]],
 [[Social Interaction]],
 [[Team Balance]]

@@ Line 38: / Line 38: @@
 When [[AI Players]] are used to replace human players, for example to support [[Drop-In/Drop-Out]] as used in the [[Left 4 Dead series]], they give players a [[Possibility of Graceful Surrender]] (although this is only a partial solution in [[TvT]] gameplay in the [[Left 4 Dead series]] as game instances are closed down if no players exist on one side). This also opens up for [[Asynchronous Gameplay]].
-Although [[Enforced Agent Behavior]] can be used specifically to make [[AI Players]] have to follow suggestions or order given by people, this is somewhat superfluous since as [[Algorithmic Agents]] they always have an [[Enforced Agent Behavior]] to the rules defining them. When [[AI Players]] are used as a way to offer [[Difficulty Levels]], they also provide [[Smooth Learning Curves]] and supporting players in reaching [[Game Mastery]] in that players can choose ones that suit their own skill levels.
+Although [[Enforced Agent Behavior]] can be used specifically to make [[AI Players]] have to follow suggestions or order given by people, this is somewhat superfluous since as [[Algorithmic Agents]] they always have an [[Enforced Agent Behavior]] to the rules defining them. When [[AI Players]] are used as a way to offer [[Difficulty Levels]], they also provide [[Smooth Learning Curves]] and supporting players in reaching [[Gameplay Mastery]] in that players can choose ones that suit their own skill levels.
 Allowing players to program [[AI Players]] for being [[Mules]] or for be part of [[Zero-Player Games]] is an example of how players can be given [[Creative Control]] through the [[Game Element Insertion]] it can provide. This also opens up for [[Evolving Rule Sets]] since the [[AI Players]] can be considered part of the rule set, and when players try to adjust to other players code this can spark of [[Red Queen Dilemmas]]. Regardless of if players create the [[AI Players]] or not, making it possible to use them as replacements for one's own participation in a game allows [[Interruptibility]].
@@ Line 61: / Line 61: @@
 ==== with [[Difficulty Levels]] ====
-[[Game Mastery]], [[Smooth Learning Curves]]
+[[Gameplay Mastery]], [[Smooth Learning Curves]]
 ==== with [[Drop-In/Drop-Out]] ====

@@ Line 84: / Line 84: @@
 [[Solution Uncertainty]],
 [[Team Strategy Identification]],
-[[Teams]]
+[[Teams]],
 [[TvT]]
-[[TvT]] in games with [[Teams]]
 === Can Be Instantiated By ===

@@ Line 34: / Line 34: @@
 == Consequences ==
-[[AI Players]] are a way to provide [[Agents]] that allow [[Multiplayer Games]] to be played as [[Single-Player Games]] or to be played with more players than people. This is a way of creating [[Actor Detachment]] in games, but can be seen as throwing the baby out with the bathwater since [[Social Interaction]] is also removed. When they are not overly complex and their algorithms are known to players they can function as [[Game System Player]]. [[AI Players]] also allows the creation of [[Zero-Player Games]] when all players are replaced by [[AI Players]] (although this typically opens up additional interpretations about [[Meta Games]] or questioning if any gameplay occurs or not). Clearly, the use of [[AI Players]] can affect [[Performance Uncertainty]], especially if players can have access to the algorithms or can deduce them from observing gameplay. Likewise, since they have different cognitive abilities, the use of them affects [[Solution Uncertainty]]. When [[AI Players]] have [[Unpredictable Behavior]], they do not simply affect [[Performance Uncertainty]] but give rise to it as well as [[Player Unpredictability]].
+[[AI Players]] are a way to provide [[Agents]] that allow [[Multiplayer Games]] to be played as [[Single-Player Games]] or to be played with more players than people, for example to provide equal sizes in [[Teams]] in games with [[TvT]] gameplay. This is a way of creating [[Actor Detachment]] in games, but can be seen as throwing the baby out with the bathwater since [[Social Interaction]] is also removed. When they are not overly complex and their algorithms are known to players they can function as [[Game System Player]]. [[AI Players]] also allows the creation of [[Zero-Player Games]] when all players are replaced by [[AI Players]] (although this typically opens up additional interpretations about [[Meta Games]] or questioning if any gameplay occurs or not). Clearly, the use of [[AI Players]] can affect [[Performance Uncertainty]], especially if players can have access to the algorithms or can deduce them from observing gameplay. Likewise, since they have different cognitive abilities, the use of them affects [[Solution Uncertainty]]. When [[AI Players]] have [[Unpredictable Behavior]], they do not simply affect [[Performance Uncertainty]] but give rise to it as well as [[Player Unpredictability]].
 When [[AI Players]] are used to replace human players, for example to support [[Drop-In/Drop-Out]] as used in the [[Left 4 Dead series]], they give players a [[Possibility of Graceful Surrender]] (although this is only a partial solution in [[TvT]] gameplay in the [[Left 4 Dead series]] as game instances are closed down if no players exist on one side). This also opens up for [[Asynchronous Gameplay]].
@@ Line 54: / Line 54: @@
 [[Possibility of Graceful Surrender]],
 [[Robotic Players]],
-[[Teams]], [[Varied Gameplay]], [[Zero-Player Games]]
+[[Varied Gameplay]],
 ==== with [[Creative Control]] ====
@@ Line 82: / Line 83: @@
 [[Self-Facilitated Games]],
 [[Solution Uncertainty]],
-[[Team Strategy Identification]]
+[[Team Strategy Identification]],
 === Can Be Instantiated By ===

@@ Line 18: / Line 18: @@
 The creation of [[AI Players]] is the design of [[Algorithmic Agents]] that can take the role of players. This means that the [[Algorithmic Agents]] need to have an [[Own Agenda]] of winning the game or playing as good as possible, and may need to display [[Emotional Attachment]] to the outcomes as a substitute for the [[Social Interaction]] that commonly occurs among people playing the same game. For games with [[Parties]] or [[Teams]], it also means that they have to be able to work within these, possibly including supporting [[Team Combos]]. While [[Team Strategy Identification]] can be demanding to support (due to the need for [[Negotiation]]) this can be mitigated through the possibility to express suggestions or orders as [[Performative Utterances]] and have the [[AI Players]] have the [[Enforced Agent Behavior]] to always follows these.
-One aspect of this design is to consider if the choice of using [[AI Players]] can only be done at the beginning of them game or if this can change during gameplay. The first option allows [[Multiplayer Games]] can have more players than people playing it or than they can be played as if they were [[Single-Player Games]] while avoiding problems of [[Game Balance]] and [[Team Balance]] due to changes in players. The second option allows [[Late Arriving Players]] and [[Drop-In/Drop-Out]] that give players' a [[Freedom of Choice]] in how to synchronized their own play sessions with other players (of which one effect is to support [[Game Pauses]] for players individually), but which may have problems with [[Game Balance]] and [[Team Balance]] unless they are pure [[Cooperation]] games. A special case here may be [[Mules]], which are started by players (possibly after being created and programmed by them) to fill in for them to do [[Grinding]] (the parodical game [[Progress Quest]] can be seen as only letting a human set up a [[Mules|Mule]] and nothing else).
+One aspect of this design is to consider if the choice of using [[AI Players]] can only be done at the beginning of them game or if this can change during gameplay. The first option allows [[Multiplayer Games]] can have more players than people playing it or than they can be played as if they were [[Single-Player Games]] while avoiding problems of [[Game Balance]] and [[Team Balance]] due to changes in players. The second option allows [[Late Arriving Players]] and [[Drop-In/Drop-Out]] that give players' a [[Freedom of Choice]] in how to synchronized their own play sessions with other players, but which may have problems with [[Game Balance]] and [[Team Balance]] unless they are pure [[Cooperation]] games. A special case here may be [[Mules]], which are started by players (possibly after being created and programmed by them) to fill in for them to do [[Grinding]] (the parodical game [[Progress Quest]] can be seen as only letting a human set up a [[Mules|Mule]] and nothing else).
 One less common choice for [[AI Players]] is make the game design demand that all players are [[AI Players]]. While not necessary, this is typically combined with letting players have the [[Creative Control]] to program the [[AI Players]] as is done in [[Crobots]] and [[P-Robots]]. Another uncommon choice for [[AI Players]] is to based them on [[Replays]]. Here the reason it is uncommon is probably because gameplay typically involves much interaction between the players which a recording is unlikely to be able to match up to (but see the [[ESP Game]]). [[Ghosts]] are close to this solution but clearly discernible as [[Replays]] and are thereby not perceived as players, in addition to not being able to interact with other game elements.
@@ Line 63: / Line 63: @@
 ==== with [[Drop-In/Drop-Out]] ====
-[[Freedom of Choice]], [[Game Pauses]]
+[[Freedom of Choice]]
 ==== with [[Multiplayer Games]] ====

@@ Line 36: / Line 36: @@
 [[AI Players]] are a way to provide [[Agents]] that allow [[Multiplayer Games]] to be played as [[Single-Player Games]] or to be played with more players than people. This is a way of creating [[Actor Detachment]] in games, but can be seen as throwing the baby out with the bathwater since [[Social Interaction]] is also removed. When they are not overly complex and their algorithms are known to players they can function as [[Game System Player]]. [[AI Players]] also allows the creation of [[Zero-Player Games]] when all players are replaced by [[AI Players]] (although this typically opens up additional interpretations about [[Meta Games]] or questioning if any gameplay occurs or not). Clearly, the use of [[AI Players]] can affect [[Performance Uncertainty]], especially if players can have access to the algorithms or can deduce them from observing gameplay. Likewise, since they have different cognitive abilities, the use of them affects [[Solution Uncertainty]]. When [[AI Players]] have [[Unpredictable Behavior]], they do not simply affect [[Performance Uncertainty]] but give rise to it as well as [[Player Unpredictability]].
-When [[AI Players]] are used to replace human players, for example to support [[Drop-In/Drop-Out]] as used in the [[Left 4 Dead series]], they give players a [[Possibility of Graceful Surrender]] (although this is only a partial solution in [[TvT]] gameplay in the [[Left 4 Dead series]] as game instances are closed down if no players exist on one side).
+When [[AI Players]] are used to replace human players, for example to support [[Drop-In/Drop-Out]] as used in the [[Left 4 Dead series]], they give players a [[Possibility of Graceful Surrender]] (although this is only a partial solution in [[TvT]] gameplay in the [[Left 4 Dead series]] as game instances are closed down if no players exist on one side). This also opens up for [[Asynchronous Gameplay]].
 Although [[Enforced Agent Behavior]] can be used specifically to make [[AI Players]] have to follow suggestions or order given by people, this is somewhat superfluous since as [[Algorithmic Agents]] they always have an [[Enforced Agent Behavior]] to the rules defining them. When [[AI Players]] are used as a way to offer [[Difficulty Levels]], they also provide [[Smooth Learning Curves]] and supporting players in reaching [[Game Mastery]] in that players can choose ones that suit their own skill levels.
@@ Line 45: / Line 45: @@
 === Can Instantiate ===
 [[Actor Detachment]],
-[[Agents]], [[Creative Control]], [[Drop-In/Drop-Out]],
+[[Agents]],
 [[Enforced Agent Behavior]], [[Game Element Insertion]],
 [[Game System Player]],

@@ Line 66: / Line 66: @@
 ==== with [[Self-Facilitated Games]] ====
 [[Excise]]
 ==== with [[Zero-Player Games]] ====