Mancala AI

Example Usage

# main.py

from Simulator import Simulator
from agents import *

# Define the two agents that will play the game.
p1 = HumanAgent()
p2 = MinimaxAgent(9)
simulator = Simulator(p1, p2)
simulator.start()

$ python main.py

Simulator

• Simulator(p1, p2): starts a simulator for the two agents, p1 and p2
• Simulator(p1, p2, silent = True): same as above but output is suppressed

Available Agents

RandomAgent()

An agent that chooses a random action.

HumanAgent()

An agent that prompts the user for every action.

GreedyAgent()

An agent that greedily chooses the best action every turn.

MinimaxAgent(depth)

An agent that uses the minimax algorithm to search through the game tree over a certain depth.