P3 überarbeitet

P3/main.py

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+import random
+import gym
+from ai_gym import fh_ac_ai_gym
+from Task.Propositions import *
+from Task.Propositions2 import *
+
+#Create Gym environment
+wumpus_env = gym.make('Wumpus-v0', disable_env_checker=True)
+wumpus_env.reset()
+wumpus_env.render()
+
+#Define the possible actions
+REVERSE_ACTION_DICT= {0: "WALK", 1:"TURNLEFT", 2:"TURNRIGHT", 3:"GRAB", 4: "SHOOT", 5:"CLIMB"}
+POSSIBLE_ACTIONS = {v: k for k, v in REVERSE_ACTION_DICT.items()}
+
+
+print("=" * 70)
+
+agent = KnowledgebasedAgent("CNF")
+obs = wumpus_env.step(1)
+print(obs)
+agent.TELL(obs)
+agent.ASK("W21")
+agent.ASK("W12")
+wumpus_env.render()
+
+print("=" * 70)
+obs = wumpus_env.step(0)
+print(obs)
+agent.TELL(obs)
+agent.ASK("W21")
+agent.ASK("W12")
+wumpus_env.render()
+
+print("=" * 70)
+obs = wumpus_env.step(0)
+print(obs)
+agent.TELL(obs)
+agent.ASK("P12")
+agent.ASK("P23")
+agent.ASK("P14")
+wumpus_env.render()
+
+print("=" * 70)
+wumpus_env.step(2)
+obs = wumpus_env.step(0)
+print(obs)
+agent.TELL(obs)
+agent.ASK("P12")
+agent.ASK("P23")
+agent.ASK("P14")
+wumpus_env.render()
+
+wumpus_env.reset()
+print("=" * 70)
+print("=" * 70)
+print("=" * 70)
+
+
+agent = HornKnowledgebasedAgent()
+wumpus_env.step(1)
+obs = wumpus_env.step(2)
+print(obs)
+agent.TELL(obs)
+agent.ASK("W21")
+agent.ASK("W12")
+wumpus_env.render()
+
+print("=" * 70)
+obs = wumpus_env.step(0)
+print(obs)
+agent.TELL(obs)
+agent.ASK("W21")
+agent.ASK("W12")
+wumpus_env.render()