aiSandbox/agent.py

#!/usr/bin/env python3

from environment import State, goalTest, actions, result
from collections import deque

# Example of goal-oriented agent.

frontier = deque() # Initialize the frontier as a queue
state = State() # Generate the initial state
while not goalTest(state): # Apply the global test
    for action in actions(state): # Expand the node
        frontier.append(result(state, action))
    state = frontier.popleft()
state.printState()