While an agent can store arbitrary data in its own state, some state values have special meaning in HASH. You're already familiar with a few:

agent_id: string // auto-created identifier. Agents receive messages to their ID.
agent_name: string // optional identifier. Agent's receive messages to their name.
behaviors: [] // Filenames of the behaviors that the agent apply to advance their state every simulation step N to N+1.
messages: [] // Outbound messages from agent
position: [x, y, z]// display's agents in the viewer and used to calculate neighbors

There are a number of others which the simulation viewer looks at to try to infer meaningful ways to display the agent. Specifically:

  • shape [string]: if provided overrides the default "box" visualization for the agent.

    • Shape options are "box", "cone", "cylinder", "dodecahedron", "icosahedron", "octahedron", "plane", "sphere", "tetrahedron", "torus", or "torusknot".

  • height [i64]: if provided (and agent is rendering on a 2d grid), will set the display height of the agent.

  • scale [i64, i64, i64]: if provided, will re-render the agent in 3d space with the new scale. The position of the agent will remain the same (e.g. for neighbor calculations).

  • direction [i64, i64, i64]: if provided, will render the agent as a cone oriented along that unit vector

  • color [string]: if provided, will color the agent. Named colors ("red", "green", "blue", etc.) are supported, alongside hex color codes (#223344) and RGB values (rgb(12,244,155)).

  • search_radius [i64]: context.neighbors() will return a list of all the agents within the search radius.

  • hidden [bool]: if provided and true, the agent will not be rendered on the 3d viewer.