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Fixed an image in search.ipynb and minor changes to readme.md by nvinayvarma189 · Pull Request #899 · aimacode/aima-python · GitHub

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Fixed an image in search.ipynb and minor changes to readme.md #899

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Fixed an image in search.ipynb and minor changes to readme.md #899

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3549d26
Fixed image link
nvinayvarma189 Mar 30, 2018
a893161
added DLS and IDS to readme
nvinayvarma189 Mar 30, 2018
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -74,8 +74,8 @@ Here is a table of algorithms, the figure, name of the algorithm in the book and
| 3.7 | Graph-Search | `graph_search` | [`search.py`][search] | Done | |
| 3.11 | Breadth-First-Search | `breadth_first_graph_search` | [`search.py`][search] | Done | Included |
| 3.14 | Uniform-Cost-Search | `uniform_cost_search` | [`search.py`][search] | Done | Included |
| 3.17 | Depth-Limited-Search | `depth_limited_search` | [`search.py`][search] | Done | |
| 3.18 | Iterative-Deepening-Search | `iterative_deepening_search` | [`search.py`][search] | Done | |
| 3.17 | Depth-Limited-Search | `depth_limited_search` | [`search.py`][search] | Done | Included |
| 3.18 | Iterative-Deepening-Search | `iterative_deepening_search` | [`search.py`][search] | Done | Included |
| 3.22 | Best-First-Search | `best_first_graph_search` | [`search.py`][search] | Done | Included |
| 3.24 | A\*-Search | `astar_search` | [`search.py`][search] | Done | Included |
| 3.26 | Recursive-Best-First-Search | `recursive_best_first_search` | [`search.py`][search] | Done | |
Expand Down Expand Up @@ -186,4 +186,4 @@ Many thanks for contributions over the years. I got bug reports, corrected code,
[rl]:../master/rl.py
[search]:../master/search.py
[utils]:../master/utils.py
[text]:../master/text.py
[text]:../master/text.py
2 changes: 1 addition & 1 deletion search.ipynb
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Expand Up @@ -1011,7 +1011,7 @@
"source": [
"Let us now define a Simple Problem Solving Agent Program. We will create a simple `vacuumAgent` class which will inherit from the abstract class `SimpleProblemSolvingAgentProgram` and overrides its methods. We will create a simple intelligent vacuum agent which can be in any one of the following states. It will move to any other state depending upon the current state as shown in the picture by arrows:\n",
"\n",
"![simple problem solving agent](images/simple_problem_solving_agent.jpg)"
"![simple problem solving agent](images/simple_problem_solving_agent.JPG)"
]
},
{
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