72 lines
2.1 KiB
Python
72 lines
2.1 KiB
Python
"""
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This implementation describes the Agent of chaos. This agent mostly uses
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randomness to determine which action to take.
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In most games, the Agent of chaos makes two considerations:
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1. Which moves are valid? Since invalid moves fallback to "default" moves,
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this can destabilize the probability distribution, making some moves
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more likely to be chosen than others. As a result, we refrain from
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"invalid" moves and take the effort to filter them out.
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2. What's a reasonable probability distribution? Sometimes, a uniform
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distribution across all options doesn't make a lot of sense. For
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example, imagine asking the agent every turn whether they want to
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use their super duper special single-use ability, and leaving that to
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a 50/50 call every turn. It feels much more random if such an ability
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is more randomly used throughout the GAME, than to have every choice
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be a uniformly distributed decision.
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"""
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from __future__ import annotations
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import random
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from pyserver import PyServer
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from typing import Any
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def main() -> int:
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"""
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Start a server.
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:return: Exit code
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:rtype: int
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"""
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player = PyServer(
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name="Agent of chaos",
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profile={
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"me.noordstar.peanuts.author": "Bram",
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"me.noordstar.peanuts.containerized": True,
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},
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import_name=__name__,
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)
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player.add_tic_tac_toe(on_move=play_tic_tac_toe, profile={})
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player.start(
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host="0.0.0.0",
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port=5000,
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)
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return 0
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def play_tic_tac_toe(payload : dict[str, Any]) -> dict[str, Any]:
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"""
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In tic-tac-toe, the agent of chaos makes uniformly distributed choices
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on unclaimed tiles.
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:param payload: The incoming game state.
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:type payload: dict[str, Any]
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:return: The agent of chaos' random choice
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:rtype: dict[str, Any]
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"""
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options = [
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int(k)
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for k, v in dict(payload).items()
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if k in "0123456789" and v == ""
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]
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return { "move": random.choice(options) }
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if __name__ == "__main__":
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raise SystemExit(main())
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