I updated the notes and strategy for the Computer Player.

Checkpoint 3:
I think that human cognition is pretty similar to the computer learning rules,
but we don't often think about rules of cognition like we do with rules for
computer thinking, and our understanding of the brain is probably not as
complete as our understanding of computers. Writing a program like this is like
starting with a brain that hasn't had any previous inputs, but it's difficult to
imagine a brain that hasn't had any inputs. I also feel like memory is probably the
most unique thing in human cognition compared to the computer analog, because
memory formation is affected by emotion, which doesn't really have a computer
analog yet? Also the effect of aging and injury?

ttt/player.py

@@ -1,5 +1,6 @@
 from click import Choice, prompt
 from strategy.random_strategy import RandomStrategy
+from strategy.lookahead_strategy import LookaheadStrategy
 from ttt.game import TTTGame
 import random
 
@@ -24,7 +25,7 @@ class TTTComputerPlayer:
     def __init__(self, name):
         "Sets up the player."
         self.name = name
-        self.strategy = RandomStrategy(TTTGame())
+        self.strategy = LookaheadStrategy(TTTGame(), deterministic=False)
 
     def choose_action(self, state):
         "Chooses a random move from the moves available."