Template:EvoLudoLab:2x2: Difference between revisions
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Along the bottom of the applet there are several buttons to control the execution and the speed of the simulations - for details see the [[ | Along the bottom of the applet there are several buttons to control the execution and the speed of the simulations - for details see the [[EvoLudoLabs:Graphical User Interface|''EvoLudoLabs'' GUI documentation]]. Of particular importance are the [[EvoLudoLabs:Parameters|parameters]] button and the [[EvoLudoLabs:Dataviews|data views]] pop-up list along the top. The former opens a panel that allows to set and change various parameters concerning the game as well as the population structure, while the latter displays the simulation data in different ways. | ||
{{Legend:StrategiesCD}} | {{Legend:StrategiesCD}} | ||
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|- | |- | ||
! | ! | ||
[[ | [[EvoLudoLabs:Dataviews#Structure - strategy|Structure - strategy]] | ||
| Snapshot of the spatial arrangement of strategies. | | Snapshot of the spatial arrangement of strategies. | ||
|- | |- | ||
! | ! | ||
[[ | [[EvoLudoLabs:Dataviews#Mean strategy|Mean strategy]] | ||
| Time evolution of the strategy frequencies. | | Time evolution of the strategy frequencies. | ||
|- | |- | ||
! | ! | ||
[[ | [[EvoLudoLabs:Dataviews#Structure - fitness|Structure - fitness]] | ||
| Snapshot of the spatial distribution of payoffs. | | Snapshot of the spatial distribution of payoffs. | ||
|- | |- | ||
! | ! | ||
[[ | [[EvoLudoLabs:Dataviews#Mean fitness|Mean fitness]] | ||
| Time evolution of average population payoff bounded by the minimum and maximum individual payoff. | | Time evolution of average population payoff bounded by the minimum and maximum individual payoff. | ||
|- | |- | ||
! | ! | ||
[[ | [[EvoLudoLabs:Dataviews#Fitness histogram|Fitness histogram]] | ||
| Snapshot of payoff distribution in population. | | Snapshot of payoff distribution in population. | ||
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== Game parameters == | == Game parameters == | ||
The list below describes only the few parameters related to the Prisoner's Dilemma, Snowdrift and Hawk-Dove games. Follow the link for a complete list and detailed descriptions of all [[ | The list below describes only the few parameters related to the Prisoner's Dilemma, Snowdrift and Hawk-Dove games. Follow the link for a complete list and detailed descriptions of all [[EvoLudoLabs:Parameters|other parameters]] such as spatial arrangements or update rules on the player and population level. | ||
; Reward: | ; Reward: |
Revision as of 01:35, 26 January 2010
Along the bottom of the applet there are several buttons to control the execution and the speed of the simulations - for details see the EvoLudoLabs GUI documentation. Of particular importance are the parameters button and the data views pop-up list along the top. The former opens a panel that allows to set and change various parameters concerning the game as well as the population structure, while the latter displays the simulation data in different ways.
Color code: | Cooperators | Defectors |
---|---|---|
New cooperator | New defector |
Payoff code: | Low High
|
---|
Note: The shades of grey of the payoff scale are augmented by blueish and reddish shades indicating payoffs for mutual cooperation and defection, respectively.
<virtuallab code="org.evoludo.labs.TwoByTwoLab.class" codebase="applets" height="572" width="480" archive="2x2.jar" options="{{{options}}}"></virtuallab>
{{{title}}}
{{{doc}}}
Data views | |
Snapshot of the spatial arrangement of strategies. | |
Time evolution of the strategy frequencies. | |
Snapshot of the spatial distribution of payoffs. | |
Time evolution of average population payoff bounded by the minimum and maximum individual payoff. | |
Snapshot of payoff distribution in population. |
Game parameters
The list below describes only the few parameters related to the Prisoner's Dilemma, Snowdrift and Hawk-Dove games. Follow the link for a complete list and detailed descriptions of all other parameters such as spatial arrangements or update rules on the player and population level.
- Reward
- reward for mutual cooperation.
- Temptation
- temptation to defect, i.e. payoff the defector gets when matched with a cooperator. Without loss of generality two out of the four traditional payoff values and can be fixed and set conveniently to and . This means mutual cooperation pays and mutual defection zero. For example for the prisoner's dilemma must hold, i.e. and .
- Sucker
- sucker's payoff which denotes the payoff the cooperator gets when matched with a defector.
- Punishment
- punishment for mutual defection.
- Init Coop, init defect
- initial fractions of cooperators and defectors. If they do not add up to 100%, the values will be scaled accordingly. Setting the fraction of cooperators to 100% and of defectors to zero, then the lattice is initialized with a symmetrical configuration suitable for observing evolutionary kaleidoscopes.