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Welcome to the documentation for the Axelrod Python library
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===========================================================
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Here is quick overview of what can be done with the library.
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Here is quick overview of the current capabilities of the library:
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* Over 100 strategies from the literature and some exciting original
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contributions
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* Classic strategies like TiT-For-Tat, WSLS, and variants
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* Zero-Determinant and other Memory-One strategies
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* Many generic strategies that can be used to define an array of popular
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strategies, including finite state machines, strategies that hunt for
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patterns in other strategies, and strategies that combine the effects of
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many others
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* Strategy transformers that augment that abilities of any strategy
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* Head-to-Head matches
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* Round Robin tournaments with a variety of options, including:
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* noisy environments
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* spatial games
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* probabilistically chosen match lengths
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* Population dynamics
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* The Moran process
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* An ecological model
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*Multi-processor support, caching for deterministic interactions, automatically
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generate figures and statistics
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Every strategy is categorized on a number of dimensions, including:
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* Deterministic or Stochastic
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* How many rounds of history used
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* Whether the strategy has access to the game matrix, the length of the
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match, etc.
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Furthermore the library is extensively tested with 99%+ coverage, ensuring
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validity and reproducibility of results!
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Quick start

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