Welcome to the documentation for the Axelrod Python library — Axelrod 0.0.1 documentation

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 tra

2 mentions: @jmsunico@davilagrau
Keywords: python
Date: 2020/02/14 12:54

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@jmsunico sn-news: #maths #sw A research tool for the Iterated Prisoner's Dilemma t.co/l3MnFywyHJ t.co/nZNYCObW3Y

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