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"Here, we learn about problem solving. Building goal-based agents that can plan ahead to solve problems, in particular navigation problem / route finding problem. First, we will start the problem solving by precicly defining **problems** and their **solutions**. We will look at several general-purpose search algorithms. Broadly, search algorithms are classified into two types:\n",
"Here, we learn about problem solving. Building goal-based agents that can plan ahead to solve problems, in particular navigation problem / route finding problem. First, we will start the problem solving by precisely defining **problems** and their **solutions**. We will look at several general-purpose search algorithms. Broadly, search algorithms are classified into two types:\n",
"\n",
"* **Uninformed search algorithms**: Search algorithms which explores the search space without having any information aboout the problem other than its definition.\n",
"* **Uninformed search algorithms**: Search algorithms which explores the search space without having any information about the problem other than its definition.\n",
"* Examples:\n",
" 1. Breadth First Search\n",
" 2. Depth First Search\n",
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@@ -96,7 +96,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"We will use the abstract class `Problem` to define out real **problem** named `GraphProblem`. You can see how we defing `GraphProblem` by running the next cell."
"We will use the abstract class `Problem` to define our real **problem** named `GraphProblem`. You can see how we defing `GraphProblem` by running the next cell."
]
},
{
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@@ -156,7 +156,7 @@
"collapsed": true
},
"source": [
"It is pretty straight forward to understand this `romania_map`. The first node **Arad** has three neighbours named **Zerind**, **Sibiu**, **Timisoara**. Each of these nodes are 75, 140, 118 units apart from **Arad** respectively. And the same goes with other nodes.\n",
"It is pretty straightforward to understand this `romania_map`. The first node **Arad** has three neighbours named **Zerind**, **Sibiu**, **Timisoara**. Each of these nodes are 75, 140, 118 units apart from **Arad** respectively. And the same goes with other nodes.\n",
"\n",
"And `romania_map.locations` contains the positions of each of the nodes. We will use the straight line distance (which is different from the one provided in `romania_map`) between two cities in algorithms like A\\*-search and Recursive Best First Search.\n",
"\n",
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@@ -392,7 +392,7 @@
"* Currently exploring node - <font color='red'>red</font>\n",
"Now, we will define some helper methods to display interactive buttons ans sliders when visualising search algorithms."
"Now, we will define some helper methods to display interactive buttons and sliders when visualising search algorithms."
]
},
{
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Fixes typos in the search.ipynb #307
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Fixes typos in the search.ipynb #307
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