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@drvinceknight
Created August 8, 2017 15:40
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import axelrod as axl"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"titfortat = axl.TitForTat()\n",
"alternator = axl.Alternator()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"match = axl.Match((titfortat, alternator), turns=10)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[(C, C),\n",
" (C, D),\n",
" (D, C),\n",
" (C, D),\n",
" (D, C),\n",
" (C, D),\n",
" (D, C),\n",
" (C, D),\n",
" (D, C),\n",
" (C, D)]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"match.play()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(2.3, 2.8)"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"match.final_score_per_turn()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"random = axl.Random()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[(C, D),\n",
" (D, D),\n",
" (D, C),\n",
" (C, C),\n",
" (C, D),\n",
" (D, C),\n",
" (C, D),\n",
" (D, C),\n",
" (C, C),\n",
" (C, D)]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"axl.seed(0)\n",
"match = axl.Match((titfortat, random), turns=10)\n",
"match.play()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(2.2, 2.7)"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"match.final_score_per_turn()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[(C, C),\n",
" (C, D),\n",
" (D, D),\n",
" (D, C),\n",
" (C, C),\n",
" (C, C),\n",
" (C, D),\n",
" (D, D),\n",
" (D, C),\n",
" (C, C)]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"axl.seed(1)\n",
"match = axl.Match((titfortat, random), turns=10)\n",
"match.play()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(2.4, 2.4)"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"match.final_score_per_turn()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"C, D = axl.Action.C, axl.Action.D\n",
"\n",
"class OurPlayer(axl.Player):\n",
"\n",
" def strategy(self, opponent):\n",
" \"\"\"This is the actual strategy\"\"\"\n",
" if len(self.history) == 0:\n",
" return C\n",
" if opponent.history == D:\n",
" return self.history[-1]\n",
" return D"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[(C, C),\n",
" (D, C),\n",
" (D, D),\n",
" (D, D),\n",
" (D, D),\n",
" (D, D),\n",
" (D, D),\n",
" (D, D),\n",
" (D, D),\n",
" (D, D)]"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ourplayer = OurPlayer()\n",
"match = axl.Match((ourplayer, titfortat), turns=10)\n",
"match.play()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [conda root]",
"language": "python",
"name": "conda-root-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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