Init_pop <- tibble :: tibble ( id = c ( 1 : 5 ), x = runif ( 5, 0, 1 ), y = runif ( 5, 0, 1 ) ) agent_population <- agents_from_param_table ( init_pop )įor anything to happen during the simulation, agents need a function. In this minimal example, agents don’t do anything other than print ‘hello’ to the console so that you can see how to set up the components needed for a sim and when each agent’s function runs.įirst, set up a one-row parameter table that will define the environment After all players have completed their function in each time step, the referee is needed to check for a goal, and if one has been scored, to increment the environment variable tracking the scoreline and to reset play. Holds values such as the dimensions of the pitch and the current score. History tracks everything that has happened in the simulation at each time step and can be analysed once the sim has finished.įor example, when simulating a game of soccer, the agents will be the players and the environment.Referee is a special class of agent, whose decision making function runs at the end of each time step, once all agents have completed their own functions.Environment keeps track of high level parameters that are not related to single agents.In each time step, each agent will run their decision making function once. Agents make decisions and interact with each other and their environment.The following components make up an ‘agentSim’ simulation: Remotes :: install_github ( "neilcharles/agentSim" ) Concepts
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