diff --git a/README.md b/README.md
index a793deb30..78378bdf8 100644
--- a/README.md
+++ b/README.md
@@ -108,7 +108,7 @@ Here is a table of algorithms, the figure, name of the algorithm in the book and
| 9.3 | FOL-FC-Ask | `fol_fc_ask` | [`logic.py`][logic] | Done | |
| 9.6 | FOL-BC-Ask | `fol_bc_ask` | [`logic.py`][logic] | Done | |
| 9.8 | Append | | | | |
-| 10.1 | Air-Cargo-problem | `air_cargo` | [`planning.py`][planning] | Done | |
+| 10.1 | Air-Cargo-problem | `air_cargo` | [`planning.py`][planning] | Done | Included |
| 10.2 | Spare-Tire-Problem | `spare_tire` | [`planning.py`][planning] | Done | |
| 10.3 | Three-Block-Tower | `three_block_tower` | [`planning.py`][planning] | Done | |
| 10.7 | Cake-Problem | `have_cake_and_eat_cake_too` | [`planning.py`][planning] | Done | |
diff --git a/planning.ipynb b/planning.ipynb
index 1054f1ee8..ca648a3a0 100644
--- a/planning.ipynb
+++ b/planning.ipynb
@@ -23,9 +23,7 @@
{
"cell_type": "code",
"execution_count": 1,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [],
"source": [
"from planning import *"
@@ -51,9 +49,7 @@
{
"cell_type": "code",
"execution_count": 2,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [],
"source": [
"%psource Action"
@@ -83,9 +79,7 @@
{
"cell_type": "code",
"execution_count": 3,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [],
"source": [
"%psource PDDL"
@@ -110,9 +104,7 @@
{
"cell_type": "code",
"execution_count": 4,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [],
"source": [
"from utils import *\n",
@@ -141,9 +133,7 @@
{
"cell_type": "code",
"execution_count": 5,
- "metadata": {
- "collapsed": true
- },
+ "metadata": {},
"outputs": [],
"source": [
"knowledge_base.extend([\n",
@@ -163,9 +153,7 @@
{
"cell_type": "code",
"execution_count": 6,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -203,9 +191,7 @@
{
"cell_type": "code",
"execution_count": 7,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [],
"source": [
"#Sibiu to Bucharest\n",
@@ -261,9 +247,7 @@
{
"cell_type": "code",
"execution_count": 8,
- "metadata": {
- "collapsed": true
- },
+ "metadata": {},
"outputs": [],
"source": [
"#Drive\n",
@@ -284,9 +268,7 @@
{
"cell_type": "code",
"execution_count": 9,
- "metadata": {
- "collapsed": true
- },
+ "metadata": {},
"outputs": [],
"source": [
"def goal_test(kb):\n",
@@ -303,31 +285,119 @@
{
"cell_type": "code",
"execution_count": 10,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [],
"source": [
"prob = PDDL(knowledge_base, [fly_s_b, fly_b_s, fly_s_c, fly_c_s, fly_b_c, fly_c_b, drive], goal_test)"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Air Cargo Problem:"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Air Cargo problem involves loading and unloading of cargo and flying it from place to place. The problem can be with defined with three actions: Load, Unload and Fly. Let us now define an object of `air_cargo` problem:"
+ ]
+ },
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 15,
+ "metadata": {},
"outputs": [],
- "source": []
+ "source": [
+ "airCargo = air_cargo()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Now, before taking any actions, we will check the `airCargo` if it has completed the goal it is required to do:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "False\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(airCargo.goal_test())"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "As we can see, it hasn't completed the goal. Now, we define the sequence of actions that it should take in order to achieve\n",
+ "the goal. Then the `airCargo` acts on each of them."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "solution = [expr(\"Load(C1 , P1, SFO)\"),\n",
+ " expr(\"Fly(P1, SFO, JFK)\"),\n",
+ " expr(\"Unload(C1, P1, JFK)\"),\n",
+ " expr(\"Load(C2, P2, JFK)\"),\n",
+ " expr(\"Fly(P2, JFK, SFO)\"),\n",
+ " expr(\"Unload (C2, P2, SFO)\")] \n",
+ "\n",
+ "for action in solution:\n",
+ " airCargo.act(action)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "As the `airCargo` has taken all the steps it needed in order to achieve the goal, we can now check if it has acheived its goal:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "airCargo.goal_test()"
+ ]
},
{
"cell_type": "code",
"execution_count": null,
- "metadata": {
- "collapsed": true
- },
+ "metadata": {},
"outputs": [],
- "source": []
+ "source": [
+ "It has now achieved its goal."
+ ]
}
],
"metadata": {
@@ -346,9 +416,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.4.3"
+ "version": "3.6.4"
}
},
"nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
}
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