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   "source": [
    "# 1. Cognitive Science: Lab02"
   ]
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   "source": [
    "For this lab, you will create a chess playing program.\n",
    "\n",
    "First, read [Programming a Chess Player](Programming a Chess Player.ipynb)."
   ]
  },
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   "source": [
    "**Team**:\n",
    "\n",
    "* team name:\n",
    "* team members:"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we will import a program in the current directory (called `tournament.py`), getting the class ChessPlayer from it. You can see the details of that program in [tournement.py](tournament.py)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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   "outputs": [],
   "source": [
    "from tournament import ChessPlayer\n",
    "import random"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To have a baseline program to practice against, let's define a random player:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "def random_player(board):\n",
    "    move = random.choice(list(board.legal_moves))\n",
    "    return move.uci()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To run a tournament, you need to create two teams:"
   ]
  },
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   "source": [
    "random_team = ChessPlayer(random_player, \"Random Team\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "other_team = ChessPlayer(random_player, \"Making Chess Great Again\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And then you are ready to play a gaim. Simply have one team play the other:"
   ]
  },
  {
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   "outputs": [],
   "source": [
    "%%time\n",
    "random_team.play(other_team)"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By default, the play happens without any graphics. The output is of the following form:\n",
    "\n",
    "    [RESULT, MESSAGE, FINAL_BOARD, WINNER(S)]\n",
    "    \n",
    "RESULT is:\n",
    "\n",
    "* None - draw\n",
    "* True - the current team won\n",
    "* False - the other team won\n",
    "\n",
    "MESSAGE is a string representing the final outcome.\n",
    "\n",
    "FINAL_BOARD is a Board object, showing a FEN representation\n",
    "\n",
    "WINNER is the name(s) of the winning teams.\n",
    "\n",
    "If you would like to watch a game, use \"simple\" or \"svg\" as a second argument to the team.play() method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "random_team.play(other_team, \"svg\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You might like to code a human player (see [Programming a Chess Player](Programming a Chess Player.ipynb))."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Your Mission"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Your team should write a chess-playing program. You must write the logic yourself and cannot use any other programs (such as opening move database). Each move must be made within 1 second.\n",
    "\n",
    "Every member of the team should sumbit their own notebook, but the chess-playing program should be the same in each notebook. Put your team's chess program in the next cell."
   ]
  },
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     "grade": true,
     "grade_id": "chess-program",
     "locked": false,
     "points": 50,
     "solution": true
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   "outputs": [],
   "source": [
    "# YOUR CODE HERE\n",
    "raise NotImplementedError()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Reflection\n",
    "\n",
    "The reflection cell is the most import cell in this lab... in all labs. In your reflection, you should:\n",
    "\n",
    "* Reflect! Think and comment on what you have learned this lab, and this week. Connect the ideas onto your own life, and experiences.\n",
    "* Feel free to comment on what you found challenging, and what you found intuitive.\n",
    "\n",
    "For this second lab, please also add reflections on meta-topics:\n",
    "\n",
    "* How does your program work?\n",
    "* Would you say that your program thinks?\n",
    "* Did you learn anything"
   ]
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     "grade": true,
     "grade_id": "reflection",
     "locked": false,
     "points": 50,
     "solution": true
    }
   },
   "source": [
    "YOUR ANSWER HERE"
   ]
  }
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