The Evolutionary Modeling Lab

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Documentation

• Changing the game
• Changing the neighborhood (only relevant for 2D lattices)
• Changing the learning rule
• Changing the model (the network topology)
  
• Partial list of commands (see other links for ones not yet listed here)
• Creating a variant of Binmore's two-population model of the ultimatum game.  This shows how, through a relatively simple sequence of (hopefully) clear commands, one can create a two-population model with asymmetric interaction and update neighborhoods, with different payoff matrices for each population.  In principle, each individual can have a unique interaction neighborhood, update neighborhood, and payoff matrix.
  
• Defining new neighborhoods (technical note #1)
• Defining new learning rules (technical note #2)
  

Currently implemented features include

• Multiple network topologies:
• Small-world networks
• Bounded degree networks
• One- and two- dimensional lattices
• Dynamic networks (with both structural and strategic dynamics)
• Support for arbitrary two-player symmetric games expressible in normal form including
• the prisoner's dilemma
• the stag hunt
• divide-the-dollar
• Interactive command shell (via BeanShell) providing dynamic access to (almost) all Java classes and model classes
• Saving bitmapped images to disk (PNG format only)
• Saving network diagrams to disk as Metapost files (can be converted to Postscript and PDF)