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Add explanation for Simple Problem Solving Agent by apb7 · Pull Request #724 · aimacode/aima-python · GitHub

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2 changes: 1 addition & 1 deletion README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,7 @@ Here is a table of algorithms, the figure, name of the algorithm in the book and
| 3 | Problem | `Problem` | [`search.py`][search] | Done | |
| 3 | Node | `Node` | [`search.py`][search] | Done | |
| 3 | Queue | `Queue` | [`utils.py`][utils] | Done | |
| 3.1 | Simple-Problem-Solving-Agent | `SimpleProblemSolvingAgent` | [`search.py`][search] | | |
| 3.1 | Simple-Problem-Solving-Agent | `SimpleProblemSolvingAgent` | [`search.py`][search] | | Included |
| 3.2 | Romania | `romania` | [`search.py`][search] | Done | Included |
| 3.7 | Tree-Search | `tree_search` | [`search.py`][search] | Done | |
| 3.7 | Graph-Search | `graph_search` | [`search.py`][search] | Done | |
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133 changes: 92 additions & 41 deletions search.ipynb

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2 changes: 1 addition & 1 deletion search.py
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Expand Up @@ -145,7 +145,7 @@ class SimpleProblemSolvingAgentProgram:
"""Abstract framework for a problem-solving agent. [Figure 3.1]"""

def __init__(self, initial_state=None):
"""State is an sbstract representation of the state
"""State is an abstract representation of the state
of the world, and seq is the list of actions required
to get to a particular state from the initial state(root)."""
self.state = initial_state
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