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Simulate simple agent interactions

Source: R/simulate_agent_interactions.R
simulate_agent_interactions.Rd

simulate_agent_interactions() models agents moving in a two-dimensional space. Agents are influenced by neighbors within an interaction radius and by random movement. The model is designed to illustrate how local interaction can produce group-level patterns.

Usage

simulate_agent_interactions(
  n_agents = 50,
  steps = 100,
  interaction_radius = 0.15,
  alignment = 0.05,
  noise = 0.02,
  seed = NULL
)

Arguments

n_agents

Number of agents.

steps

Number of simulation steps.

interaction_radius

Distance within which agents influence each other.

alignment

Strength of movement toward nearby agents.

noise

Random movement strength.

seed

Optional random seed.

Value

A data frame with one row per agent per step.

Examples

agents <- simulate_agent_interactions(n_agents = 20, steps = 30, seed = 1)
head(agents)
#>   step agent         x         y
#> 1    1    A1 0.2655087 0.9347052
#> 2    1    A2 0.3721239 0.2121425
#> 3    1    A3 0.5728534 0.6516738
#> 4    1    A4 0.9082078 0.1255551
#> 5    1    A5 0.2016819 0.2672207
#> 6    1    A6 0.8983897 0.3861141