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start work om distributed decision making

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Alexandre Linhares
2017-09-07 19:26:10 -03:00
committed by Alexandre Linhares
parent 0a54c0ee83
commit 0905d35680
5 changed files with 176596 additions and 128289 deletions
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4
README.md
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@ -1,9 +1,7 @@
co.py.cat
=========
**Dear potential co-authors,**
I am planning to use this codebase, or Joseph A. Hager's, to implement a variation of Copycat that uses Entropy instead of Temperature and still preserves the parallel terraced scan in full form. If the change is viable, I plan to write a paper on that. For the general idea, please see pages 41 and 42 of the [*Information Sciences*](https://github.com/Alex-Linhares/FARGlexandria/blob/master/Literature/Chess-Capyblanca-2014-Linhares-Information%20Sciences.pdf) paper on [Capyblanca](https://github.com/Alex-Linhares/FARGlexandria).
I am planning to use this codebase, or Joseph A. Hager's, to implement a variation of Copycat that uses *Entropy* instead of *Temperature*, while still preserving the parallel terraced scan in full form. If the change is viable, I plan to write a paper on that (if anyone is interested in co-authoring, let me know). For the general idea, please see pages 41 and 42 of the [*Information Sciences*](https://github.com/Alex-Linhares/FARGlexandria/blob/master/Literature/Chess-Capyblanca-2014-Linhares-Information%20Sciences.pdf) paper on [Capyblanca](https://github.com/Alex-Linhares/FARGlexandria).
**If you would like to help research and publish a paper, please let me know.**

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copycat.log
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3
main.py
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@ -4,12 +4,14 @@ import logging
from copycat import Copycat, Reporter
class SimpleReporter(Reporter):
def report_answer(self, answer):
print('Answered %s (time %d, final temperature %.1f)' % (
answer['answer'], answer['time'], answer['temp'],
))
def main():
logging.basicConfig(level=logging.INFO, format='%(message)s', filename='./copycat.log', filemode='w')
@ -27,5 +29,6 @@ def main():
for answer, d in sorted(iter(answers.items()), key=lambda kv: kv[1]['avgtemp']):
print('%s: %d (avg time %.1f, avg temp %.1f)' % (answer, d['count'], d['avgtime'], d['avgtemp']))
if __name__ == '__main__':
main()