3 research outputs found
An open reproducible framework for the study of the iterated prisoner's dilemma
The Axelrod library is an open source Python package that allows for
reproducible game theoretic research into the Iterated Prisoner's Dilemma. This
area of research began in the 1980s but suffers from a lack of documentation
and test code. The goal of the library is to provide such a resource, with
facilities for the design of new strategies and interactions between them, as
well as conducting tournaments and ecological simulations for populations of
strategies.
With a growing collection of 139 strategies, the library is a also a platform
for an original tournament that, in itself, is of interest to the game
theoretic community. This paper describes the Iterated Prisoner's Dilemma, the
Axelrod library and its development, and insights gained from some novel
research.Comment: 11 pages, Journal of Open Research Software 4.1 (2016
Relaxation as treatment for chronic musculoskeletal pain - a systematic review of randomised controlled studies
v1.5.0, 2016-07-19
New tournament type, new strategy, seeding, dev tools, docs + minor/bug fixes
User facing:
Spatial tournaments: https://github.com/Axelrod-Python/Axelrod/pull/654
New strategy, slow tit for tat:
https://github.com/Axelrod-Python/Axelrod/pull/659
Seed the library: https://github.com/Axelrod-Python/Axelrod/pull/653
More uniform strategy transformer behaviour:
https://github.com/Axelrod-Python/Axelrod/pull/657
Results can be calculated with non default game:
https://github.com/Axelrod-Python/Axelrod/pull/656
Documentation:
A community page: https://github.com/Axelrod-Python/Axelrod/pull/656
An overall results page that replaces the payoff matrix page:
https://github.com/Axelrod-Python/Axelrod/pull/660
Development:
A git hook script for commit messages:
https://github.com/Axelrod-Python/Axelrod/pull/648
Caching of hypothesis database on travis:
https://github.com/Axelrod-Python/Axelrod/pull/658
Here are all the commits for this PR:
https://github.com/Axelrod-Python/Axelrod/compare/v1.4.0...v1.5.
Axelrod: 1.4.0
v1.4.0, 2016-06-22
New strategy.
contrite TitForTat: https://github.com/Axelrod-Python/Axelrod/pull/639
Here are all the commits for this PR:
https://github.com/Axelrod-Python/Axelrod/compare/v1.3.0...v1.4.