Because python is a very popular scripting language many people have contributed code solutions to many kind of problems. Today I spent some time getting one of the extras bundled with PythonACT-R working. The extra is a text-to-speech processor so that now the demonstration model on sequential memory has a talking experimenter and the participant speaks to recite what has been learned. I am hoping that all of this make a provocative in class demonstration next term.
The side benefit is that my little elizabot.py one page introduction to python programming now can have speech output as well. The responsive speaking program makes a nice introduction to the Artificial Intelligence bots and the Turing Test competition (Lobner prize). This in turn sets the stage for the discussion of the differences between AI models and ACT-R models. (code for all of the python course models will be available via my home page http://brucelandon.douglas.bc.ca
Wednesday, October 11, 2006
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