iterated-prisoners-dilemma | IPD algorithm written in multiple languages | Learning library
kandi X-RAY | iterated-prisoners-dilemma Summary
kandi X-RAY | iterated-prisoners-dilemma Summary
iterated-prisoners-dilemma is a Scala library typically used in Tutorial, Learning, Example Codes applications. iterated-prisoners-dilemma has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
This is my attempt at implementing the IPD algorithim in multiple languages. Originally, I chose Ruby, Go, Scala, Clojure, and Haskell as target languages. Each implementation is either functional in nature or with low ceremony. Presently, only two strategies are available in each of the languages: AlwaysCooperate and AlwaysDefect which do what you'd expect: constantly move respective of the name. Thus, the winner from 10 iterations is AlwaysDefect and the score should be 50 to 0. Some day I may improve on the examples by adding new and more challenging strategies.
This is my attempt at implementing the IPD algorithim in multiple languages. Originally, I chose Ruby, Go, Scala, Clojure, and Haskell as target languages. Each implementation is either functional in nature or with low ceremony. Presently, only two strategies are available in each of the languages: AlwaysCooperate and AlwaysDefect which do what you'd expect: constantly move respective of the name. Thus, the winner from 10 iterations is AlwaysDefect and the score should be 50 to 0. Some day I may improve on the examples by adding new and more challenging strategies.
Support
Quality
Security
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Support
iterated-prisoners-dilemma has a low active ecosystem.
It has 21 star(s) with 5 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of iterated-prisoners-dilemma is current.
Quality
iterated-prisoners-dilemma has 0 bugs and 0 code smells.
Security
iterated-prisoners-dilemma has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
iterated-prisoners-dilemma code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
iterated-prisoners-dilemma is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
iterated-prisoners-dilemma releases are not available. You will need to build from source code and install.
Installation instructions are not available. Examples and code snippets are available.
It has 175 lines of code, 24 functions and 4 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of iterated-prisoners-dilemma
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of iterated-prisoners-dilemma
iterated-prisoners-dilemma Key Features
No Key Features are available at this moment for iterated-prisoners-dilemma.
iterated-prisoners-dilemma Examples and Code Snippets
No Code Snippets are available at this moment for iterated-prisoners-dilemma.
Community Discussions
Trending Discussions on iterated-prisoners-dilemma
QUESTION
How can I resolve a key error in python axelrod Lookerup strategy
Asked 2017-Nov-07 at 09:47
Using python axelrod library, I am going through the following (and excellent) blog for myself: http://mojones.net/evolving-strategies-for-an-iterated-prisoners-dilemma-tournament.html . In trying to implement the lookerup strategy, I get the following error:
...
ANSWER
Answered 2017-Nov-07 at 09:47The issue is that you are using strings to represent actions, when you need to be using Actions. The repair is quite simple:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install iterated-prisoners-dilemma
You can download it from GitHub.
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