Update README

VartanAhrensKayayan · Jan 25, 2017 · 6d40bbb · 6d40bbb
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 Axelrod
 =======
 
-A library with the following principles and goals:
+A python library with the following principles and goals:
 
 1. Enabling the reproduction of previous Iterated Prisoner's Dilemma research
    as easily as possible.
@@ -26,10 +26,23 @@ A library with the following principles and goals:
 4. Emphasizing readability along with an open and welcoming community that
    is accommodating for developers and researchers of a variety of skill levels.
 
-Currently the library contains well over 100 strategies and can perform a
+Currently the library contains well over 150 strategies including classics
+such as Tit-For-Tat (TFT) and Win-Stay-Lose-Shift (WSLS), recent variants
+including zero-determinant strategies, and a variety of novel strategies
+including several machine-learning based strategies. Many strategies
+are parameterized, allowing for infinitely-many variations. We welcome
+new strategies and additions from the literature: see [here](https://github.com/Axelrod-Python/Axelrod/issues/379)
+for a list of known strategies and sources.
+
+With these strategies the library and can perform head-to-head Matches, a
 variety of tournament types (RoundRobin, Noisy, Spatially-distributed, and
-probabilistically ending) and population dynamics while taking advantage
-of multi-core processors.
+probabilistically ending) and population dynamics including the Moran process
+on graphs, while taking advantage of multi-core processors.
+
+The library emphasizes reproducibility and validity. The current test suite
+covers more than 99% of all code in the library, with many portions
+covered many times over, including [randomly generated tests](https://github.com/HypothesisWorks/hypothesis-python)
+that are created and run regularly.
 
 **Please contribute via pull request (or just get in touch with us).**