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marcharper committed Aug 10, 2016
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Welcome to the documentation for the Axelrod Python library
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Here is quick overview of what can be done with the library.
Here is quick overview of the current capabilities of the library:
* Over 100 strategies from the literature and some exciting original
contributions
* Classic strategies like TiT-For-Tat, WSLS, and variants
* Zero-Determinant and other Memory-One strategies
* Many generic strategies that can be used to define an array of popular
strategies, including finite state machines, strategies that hunt for
patterns in other strategies, and strategies that combine the effects of
many others
* Strategy transformers that augment that abilities of any strategy
* Head-to-Head matches
* Round Robin tournaments with a variety of options, including:
* noisy environments
* spatial games
* probabilistically chosen match lengths
* Population dynamics
* The Moran process
* An ecological model
*Multi-processor support, caching for deterministic interactions, automatically
generate figures and statistics
Every strategy is categorized on a number of dimensions, including:
* Deterministic or Stochastic
* How many rounds of history used
* Whether the strategy has access to the game matrix, the length of the
match, etc.

Furthermore the library is extensively tested with 99%+ coverage, ensuring
validity and reproducibility of results!


Quick start
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