AIML_PRA_01.pdf short description for the Reflex Agent Practical for the First AI & ML Batch.

AIML_PRA_01.pdf short description for the Reflex Agent Practical for the First AI & ML Batch.

• 2.
  # Simple ReflexAgent room = "Dirty" if room == "Dirty": print("Action: SUCK") else: print("Action: DO NOTHING") --------------------------------------------------- location = "A" dirty = True if dirty: print("Room", location, "is Dirty") print("Action: SUCK") else: print("Move to next room") ----------------------------------------------------- # Environment with 4 rooms rooms = { "A": "Dirty", "B": "Clean", "C": "Dirty", "D": "Clean" } # Display room status print("Room Status:") for room in rooms: print("Room", room, ":", rooms[room]) -------------------------------------------------------------------
• 3.
  # Simple VacuumAgent roomA = "Dirty" roomB = "Clean" print("Initial Status") print("Room A:", roomA) print("Room B:", roomB) # Agent starts in Room A if roomA == "Dirty": print("Action: SUCK") roomA = "Clean" print("nFinal Status") print("Room A:", roomA) print("Room B:", roomB) # 1-Location Vacuum Agent room = "Dirty" print("Room Status:", room) if room == "Dirty": print("Action: SUCK") room = "Clean" print("Final Room Status:", room)
• 4.
  room = "Dirty" ifroom == "Dirty": print("Action: SUCK") room = "Clean" room = "Clean" if room == "Dirty": print("Action: SUCK")
• 5.
  room = "Dirty" ifroom == "Dirty": print("Action: SUCK") room = "Clean" print("Updated Room Status:", room) rooms = { "A": "Dirty" } rooms["A"] = "Clean" print("Updated Room Status:", rooms["A"])
• 8.
  import random color =random.choice(["Red", "Blue", "Green"]) print(color)
• 9.
  •There are twoagents: •Agent 1 cleans Room A. •Agent 2 cleans Room B. •Each agent checks if its assigned room is Dirty. •If the room is dirty, the agent performs the SUCK action. •Finally, the program displays the updated status of both rooms