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Project home: http://github.com/simpleai-team/simpleai
This lib implements many of the artificial intelligence algorithms described on the book "Artificial Intelligence, a Modern Approach", from Stuart Russel and Peter Norvig. We strongly recommend you to read the book, or at least the introductory chapters and the ones related to the components you want to use, because we won't explain the algorithms here.
This implementation takes some of the ideas from the Norvig's implementation (the aima-python <https://code.google.com/p/aima-python/>
_ lib), but it's made with a more "pythonic" approach, and more emphasis on creating a stable, modern, and maintainable version. We are testing the majority of the lib, it's available via pip install, has a standard repo and lib architecture, well documented, respects the python pep8 guidelines, provides only working code (no placeholders for future things), etc. Even the internal code is written with readability in mind, not only the external API.
At this moment, the implementation includes:
Just get it:
.. code-block::
pip install simpleai
And if you want to use the interactive search viewers, also install:
.. code-block::
pip install pydot flask
You will need to have pip installed on your system. On linux install the
python-pip package, on windows follow this <http://stackoverflow.com/questions/4750806/how-to-install-pip-on-windows>
_.
Also, if you are on linux and not working with a virtualenv, remember to use
sudo
for both commands (sudo pip install ...
).
Simple AI allows you to define problems and look for the solution with
different strategies. Another samples are in the samples
directory, but
here is an easy one.
This problem tries to create the string "HELLO WORLD" using the A* algorithm:
.. code-block:: python
from simpleai.search import SearchProblem, astar
GOAL = 'HELLO WORLD'
class HelloProblem(SearchProblem):
def actions(self, state):
if len(state) < len(GOAL):
return list(' ABCDEFGHIJKLMNOPQRSTUVWXYZ')
else:
return []
def result(self, state, action):
return state + action
def is_goal(self, state):
return state == GOAL
def heuristic(self, state):
# how far are we from the goal?
wrong = sum([1 if state[i] != GOAL[i] else 0
for i in range(len(state))])
missing = len(GOAL) - len(state)
return wrong + missing
problem = HelloProblem(initial_state='')
result = astar(problem)
print(result.state)
print(result.path())
You can read the docs online here <http://simpleai.readthedocs.org/en/latest/>
_. Or for offline access, you can clone the project code repository and read them from the docs
folder.
Join us at the Simple AI google group <http://groups.google.com/group/simpleai>
_.
contributors section <https://github.com/simpleai-team/simpleai/graphs/contributors>
_.Machinalis <http://www.machinalis.com/>
_ for the time provided to work on this project. Machinalis also works on some other very interesting projects, like Quepy <http://quepy.machinalis.com/>
_ and more <https://github.com/machinalis>
_.FAQs
An implementation of AI algorithms based on aima-python
We found that simpleai demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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