Template:EvoLudoLab:CSD: Difference between revisions

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__NOTOC__
__NOTOC__
Along the bottom of the applet there are several buttons to control the execution and the speed of the simulations - for details see the [[Virtuallabs:Graphical User Interface|''VirtualLabs'' GUI documentation]]. Of particular importance are the [[Virtuallabs:Parameters|parameters]] button and the data [[Virtuallabs: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.
Along the bottom of the applet there are several buttons to control the execution and the speed of the simulations - for details see the [[EvoLudo:Graphical User Interface|''EvoLudo'' GUI documentation]]. Of particular importance are the [[EvoLudo:Parameters|parameters]] button and the data [[EvoLudo: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:MinMaxMean}}
{{Legend:MinMaxMean}}
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''Note:'' The shades of grey of the payoff scale are augmented by blueish and reddish shades indicating payoffs for mutual cooperation and defection, respectively.
''Note:'' The shades of grey of the payoff scale are augmented by blueish and reddish shades indicating payoffs for mutual cooperation and defection, respectively.


<div id="virtuallab">
<div id="evoludolab">
{{#tag:virtuallab||code="org.evoludo.labs.CSDLab.class"|codebase="applets"|height="572"|width="480"|archive="CSD.jar"|options={{{options}}}}}
{{#tag:evoludolab||code="org.evoludo.labs.CSDLab.class"|codebase="applets"|height="572"|width="480"|archive="CSD.jar"|options={{{options}}}}}
</div>
</div>


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|-
|-
!
!
[[VirtualLabs:Dataviews#Structure - strategy|Structure - strategy]]
[[EvoLudoLab:Dataviews#Structure - strategy|Structure - strategy]]
| Snapshot of the spatial arrangement of strategies.
| Snapshot of the spatial arrangement of strategies.
|-
|-
!
!
[[VirtualLabs:Dataviews#Mean strategy|Mean strategy]]
[[EvoLudoLab:Dataviews#Mean strategy|Mean strategy]]
| Time evolution of the strategy frequencies.
| Time evolution of the strategy frequencies.
|-
|-
!
!
[[VirtualLabs:Dataviews#Strategy histogram|Strategy histogram]]
[[EvoLudoLab:Dataviews#Strategy histogram|Strategy histogram]]
| Snapshot of strategy distribution in population
| Snapshot of strategy distribution in population
|-
|-
!
!
[[VirtualLabs:Dataviews#Strategy distribution|Strategy distribution]]
[[EvoLudoLab:Dataviews#Strategy distribution|Strategy distribution]]
| Time evolution of the strategy distribution
| Time evolution of the strategy distribution
|-
|-
!
!
[[VirtualLabs:Dataviews#Structure - fitness|Structure - fitness]]
[[EvoLudoLabs:Dataviews#Structure - fitness|Structure - fitness]]
| Snapshot of the spatial distribution of payoffs.
| Snapshot of the spatial distribution of payoffs.
|-
|-
!
!
[[VirtualLabs:Dataviews#Mean fitness (continuous)|Mean fitness]]
[[EvoLudoLabs:Dataviews#Mean fitness (continuous)|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.
|-
|-
!
!
[[VirtualLabs:Dataviews#Fitness histogram (continuous)|Fitness histogram]]
[[EvoLudoLabs:Dataviews#Fitness histogram (continuous)|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 continuous snowdrift game. Follow the link for a complete list and descriptions of all [[Virtuallabs:Parameters|other parameters]] e.g. referring to update mechanisms of players and the population.
The list below describes only the few parameters related to the continuous snowdrift game. Follow the link for a complete list and descriptions of all [[EvoLudo:Parameters|other parameters]] e.g. referring to update mechanisms of players and the population.


; Benefit/Cost Functions:
; Benefit/Cost Functions:
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; Sdev invest:
; Sdev invest:
: Standard deviation of initial population. If set to negative values, the population will be initialized with uniform distributed traits.
: Standard deviation of initial population. If set to negative values, the population will be initialized with uniform distributed traits.
[[Category:VirtualLab]]
[[Category:Interactive Lab]]

Revision as of 14:30, 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 EvoLudo GUI documentation. Of particular importance are the parameters button and the data 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: Maximum Minimum Mean
Strategy code:
Defect Cooperate
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.

{{{title}}}

{{{doc}}}

Data views

Structure - strategy

Snapshot of the spatial arrangement of strategies.

Mean strategy

Time evolution of the strategy frequencies.

Strategy histogram

Snapshot of strategy distribution in population

Strategy distribution

Time evolution of the strategy distribution

Structure - fitness

Snapshot of the spatial distribution of payoffs.

Mean fitness

Time evolution of average population payoff bounded by the minimum and maximum individual payoff.

Fitness histogram

Snapshot of payoff distribution in population.


Game parameters

The list below describes only the few parameters related to the continuous snowdrift game. Follow the link for a complete list and descriptions of all other parameters e.g. referring to update mechanisms of players and the population.

Benefit/Cost Functions
A variety of different combinations of cost and benefit functions can be selected.
Benefit
Two parameters for the benefit function. Note that not all functions require both.
Cost
Two parameters for the cost function. Note that not all functions require both.
Mean invest
Mean trait value of initial population.
Sdev invest
Standard deviation of initial population. If set to negative values, the population will be initialized with uniform distributed traits.