{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"![](\"vacuum.webp\")
"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## CS 470 Artificial Intelligence hw1\n",
"\n",
"You are to edit the file hw1.py, as described in the instructions.\n",
"We have provided a solution file, hw1a.pyc, which is compiled bytecode that you may run.\n",
"\n",
"Below we demonstrate the code, both with and without graphics."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from hw1a import *"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"gv = GraphicVacuumEnvironment(10,10,bias=0.5,color={'Agent': (200,0,0), 'Dirt': (230, 115, 40), 'Wall': (100,100,100)})"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[[[],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" []],\n",
" [[], [], [], [], [], [], [], [], [], []],\n",
" [[],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" []],\n",
" [[],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" []],\n",
" [[], [], [], [], [], [], [], [], [], []],\n",
" [[], [], [], [], [], [], [], [], [], []],\n",
" [[], [], [], [], [], [], [], [], [], []],\n",
" [[],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" []],\n",
" [[],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" []],\n",
" [[],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" []]]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rv = TraceAgent(BetterReflexVacuumAgent())\n",
"gv.add_thing(rv)\n",
"gv.get_world()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rv.performance"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(1, 1)"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rv.location"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" perceives ('Clean', 'None') and does Right at (1, 1)\n"
]
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" perceives ('Dirty', 'None') and does Suck at (2, 1)\n"
]
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" perceives ('Clean', 'None') and does Right at (2, 1)\n"
]
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" perceives ('Clean', 'None') and does Right at (3, 1)\n"
]
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" perceives ('Clean', 'None') and does Right at (4, 1)\n"
]
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" perceives ('Dirty', 'None') and does Suck at (5, 1)\n"
]
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" perceives ('Clean', 'None') and does Up at (5, 1)\n"
]
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" perceives ('Clean', 'None') and does Down at (5, 1)\n"
]
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" perceives ('Dirty', 'None') and does Suck at (5, 2)\n"
]
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" perceives ('Clean', 'None') and does Up at (5, 2)\n"
]
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gv.run(10)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(5, 1)"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rv.location"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"23"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rv.performance"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we create a vacuum world without graphics."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"nve = NewVacuumEnvironment(10,10,bias=0.5)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[[[],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" []],\n",
" [[],\n",
" [, ],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" []],\n",
" [[], [], [], [], [], [], [], [], [], []],\n",
" [[], [], [], [], [], [], [], [], [], []],\n",
" [[], [], [], [], [], [], [], [], [], []],\n",
" [[],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" []],\n",
" [[], [], [], [], [], [], [], [], [], []],\n",
" [[], [], [], [], [], [], [], [], [], []],\n",
" [[], [], [], [], [], [], [], [], [], []],\n",
" [[],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" [],\n",
" []]]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"nrv = TraceAgent(BetterReflexVacuumAgent())\n",
"nve.add_thing(nrv)\n",
"nve.get_world()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" perceives ('Dirty', 'None') and does Suck at (1, 1)\n",
" perceives ('Clean', 'None') and does Up at (1, 1)\n",
" perceives ('Clean', 'None') and does Down at (1, 1)\n",
" perceives ('Dirty', 'None') and does Suck at (1, 2)\n",
" perceives ('Clean', 'None') and does Up at (1, 2)\n",
" perceives ('Clean', 'None') and does Left at (1, 1)\n",
" perceives ('Clean', 'None') and does Right at (1, 1)\n",
" perceives ('Dirty', 'None') and does Suck at (2, 1)\n",
" perceives ('Clean', 'None') and does Down at (2, 1)\n",
" perceives ('Clean', 'None') and does Up at (2, 2)\n"
]
}
],
"source": [
"nve.run(10)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(2, 1)"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"nrv.location"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"23"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"nrv.performance"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"hours\n",
"# is it greater than 0?\n",
" OK got: 2 expected: . at 0x7fc32822fcb0>\n",
"NewVacuumEnvironment - Walls\n",
" OK got: '[[[], [], [], [], []], [[], [], [], [], []], [[], [], [], [], []], [[], [], [], [], []], [[], [], [], [], []]]' expected: '[[[], [], [], [], []], [[], [], [], [], []], [[], [], [], [], []], [[], [], [], [], []], [[], [], [], [], []]]'\n",
"NewVacuumEnvironment - Dirt\n",
" OK got: 159 expected: . at 0x7fc328232170>\n",
"NewVacuumEnvironment - Very Clean\n",
" OK got: 0 expected: 0\n",
"NewVacuumEnvironment - Very Dirty\n",
" OK got: 324 expected: 324\n",
"TraceAgent and BetterReflexVacuumAgent\n",
" perceives ('Dirty', 'None') and does Suck at (1, 1)\n",
" OK got: (1, 1) expected: (1, 1)\n",
" OK got: 10 expected: 10\n",
" perceives ('Clean', 'None') and does Left at (1, 1)\n",
" perceives ('Clean', 'None') and does Up at (1, 1)\n",
" perceives ('Clean', 'None') and does Down at (1, 1)\n",
" perceives ('Dirty', 'None') and does Suck at (1, 2)\n",
" perceives ('Clean', 'None') and does Down at (1, 2)\n",
" perceives ('Dirty', 'None') and does Suck at (1, 3)\n",
" perceives ('Clean', 'None') and does Down at (1, 3)\n",
" perceives ('Dirty', 'None') and does Suck at (1, 4)\n",
" perceives ('Clean', 'None') and does Up at (1, 4)\n",
" perceives ('Clean', 'None') and does Up at (1, 3)\n",
" perceives ('Clean', 'None') and does Up at (1, 2)\n",
" perceives ('Clean', 'None') and does Left at (1, 1)\n",
" perceives ('Clean', 'None') and does Left at (1, 1)\n",
" perceives ('Clean', 'None') and does Left at (1, 1)\n",
" perceives ('Clean', 'None') and does Right at (1, 1)\n",
" perceives ('Dirty', 'None') and does Suck at (2, 1)\n",
" perceives ('Clean', 'None') and does Up at (2, 1)\n",
" perceives ('Clean', 'None') and does Down at (2, 1)\n",
" perceives ('Dirty', 'None') and does Suck at (2, 2)\n",
" perceives ('Clean', 'None') and does Down at (2, 2)\n",
" OK got: 45 expected: . at 0x7fc328242a70>\n"
]
}
],
"source": [
"main()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Below we demonstrate the testing code from the end of agents.py"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"environment = TrivialVacuumEnvironment"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"agents = [ModelBasedVacuumAgent, ReflexVacuumAgent]"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"result = compare_agents(environment, agents)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[(, 9),\n",
" (, -989)]"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}