Hi All, At 08:04 PM 8/25/2002 +0530, Nagarjuna G. wrote:

I feel that Python can be used for teaching regular AI topics. I would like to attempt teaching without using traditional LISP/Prolog. Nothing against them, but only to develop material for a Python based course. I would like to know if any of you already know material that would help me in shaping this course or develop examples. Any help will be appreciated.

I am looking forward to the publication of the 2nd edition of Artificial Intelligence, A Modern Approach, later this year. At the book's website[1] are listed links to examples in Lisp, PYTHON, C++, Prolog, and Java. The Lisp and PYTHON examples are being provided by the authors, Stuart Russell, Professor of Computer Science at UC Berkeley, and Peter Norvig, Director of Search Quality, Google Inc. Enjoy, John [1] http://www.cs.berkeley.edu/~russell/aima.html

Of course, it depends on what you mean by "AI". For traditional AI, John pointed to some good sites, especially those from Peter Norvig to supplement his textbook ("AI: A Modern Approach"): http://www.norvig.com/python/python.html If you are interested in the what you might want to call "Post-Modern AI" (including neural networks, evolutionary computation, and fuzzy logic) you can try out some code that we have been developing over the last year. (If anyone finds more AI-related Python code, please let us know. I'm planning to translate some Prolog-like logic resolution, forward and backward chaining code into Python from Scheme. If that has already been done, that'd be great.) Here is part of a message I sent to someone on this list just last week: We have three modules for fuzzy, neural networks, and genetic algorithms: pyro.brain.fuzzy pyro.brain.conx pyro.brain.ga You can find them individually at: http://bubo.brynmawr.edu/cgi-bin/viewcvs.cgi/pyro/brain/ or find our whole system at: http://emergent.brynmawr.edu/wiki/index.cgi/Pyro (Pyro is Python Robotics, and is a larger system for experimenting with robotic control using Python and a variety of AI techniques). The neural network is a fairly sophisticated back-propagation of error simulator. It does feed-forward networks (and simple recurrent networks). For more information on that style you can follow the "Parallel Distributed Processing" (or PDP) books by McClellend and Rumlehart. There is a Wiki page for conx documentation at: http://emergent.brynmawr.edu/wiki/index.cgi/PyroConx The Fuzzy logic is home grown, and handles the combination of Fuzzy values using the overloaded | and &. To turn a value into a Fuzzy value, the syntax looks something like: Fuzzy(min, max) >> value Fuzzy(min, max) << value The >> makes min = 0 and max = 1, whereas the << makes min = 1, and max = 0. We don't really have any good documentation on Fuzzy logic yet. But there are some examples in: http://bubo.brynmawr.edu/cgi-bin/viewcvs.cgi/pyro/plugins/brains/ (see the files that start with BB, which stands for "behavior based"). Our Genetic Algorithm is a simple system, but combined with the neural network module, you can even evolve the weights of a neural network. Find it at: http://bubo.brynmawr.edu/cgi-bin/viewcvs.cgi/pyro/brain/ga.py -Doug "Nagarjuna G." <nagarjun@hbcse.tifr.res.in> said:

I feel that Python can be used for teaching regular AI topics. I would like to attempt teaching without using traditional LISP/Prolog. Nothing against them, but only to develop material for a Python based course. I would like to know if any of you already know material that would help me in shaping this course or develop examples. Any help will be appreciated.

Nagarjuna

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