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Evolife
Evolife has been developed to study Genetic algorithms, Natural evolution and behavioural ecology.
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Determines how individuals acquire their score, either by themselves or through interactions. More...
Classes | |
| class | Default_Scenario |
| All functions defined here can be overloaded in specific scenarii (see module doc) More... | |
Determines how individuals acquire their score, either by themselves or through interactions.
Evolife scenarii may rewrite several functions defined here :
(those marked with '+' are called from 'Group.py')
(those marked with 'o' are called from 'Observer.py')
- initialization(self): allows to define local variables
- genemap(self): initialises the genes on the gene map (see 'Genetic_map.py')
- phenemap(self): defines a list of phenotypic character names (see 'Phenotype.py')
+ season(self, year, members): makes periodic actions like resetting parameters
+ behaviour(self, BestIndiv, AvgIndiv): defines a behaviour to be displayed
+ life_game(self, members): defines a round of interactions - calls the five following functions
- start_game(self, members): group-level initialization before starting interactions
- prepare(self, indiv): individual initialization before starting interactions
- interaction(self, Indiv, Partner): defines a single interaction
- partner(self, Indiv, members): select a partner among 'members' that will interact with 'Indiv'
- end_game(self, members): an occasion for a closing round after all interactions
- evaluation(self, Indiv): defines how the score of an individual is computed
- lives(self, members): converts scores into life points
+ couples(self, members): returns a list of couples for procreation (individuals may appear in several couples!)- Calls the following functions:
- parenthood(self, RankedCandidates, Def_Nb_Children): Determines the number of children depending on rank
- parents(self, candidates): selects two parents from a list of candidates (candidate = (indiv, NbOfPotentialChildren))
+ new_agent(self, child, parents): initializes newborns
+ remove_agent(self, agent): action to be performed when an agent dies
+ update_positions(self, members, groupID): assigns a position to agents
o default_view(self): says which windows should be open at start up
o legends(self): returns a string to be displayed at the bottom ot the Legend window.
o display_(self): says which statistics are displayed each year
o def Field_grid(self): initial draw in the Field window
o def Trajectory_grid(self): initial draw in the Trajectory window
o wallpaper(self, Window): if one wants to display different backgrounds in windows
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