Personal tools

AI

From HaskellWiki

(Difference between revisions)
Jump to: navigation, search
(Removed self from people (too busy to spend time on this))
(People)
(22 intermediate revisions by 11 users not shown)
Line 1: Line 1:
 
[[Category:Community]]
 
[[Category:Community]]
  +
[[Category:AI]]
 
== Introduction ==
 
== Introduction ==
 
This is the home for the Haskell AI Strike Force! Here we will collect code, problems, papers, ideas, and people for putting together a flexible AI toolkit in Haskell.
 
This is the home for the Haskell AI Strike Force! Here we will collect code, problems, papers, ideas, and people for putting together a flexible AI toolkit in Haskell.
Line 5: Line 6:
 
== People ==
 
== People ==
 
If interested in contributing to or monitoring this project, please put your name, nickname (if applicable - e.g., if you talk on #haskell), and email address so we can keep each other up-to-date.
 
If interested in contributing to or monitoring this project, please put your name, nickname (if applicable - e.g., if you talk on #haskell), and email address so we can keep each other up-to-date.
  +
  +
Mark Wong-VanHaren (marklar) <markwvh at gmail>
   
 
Andrew Wagner (chessguy) <wagner dot andrew at gmail>
 
Andrew Wagner (chessguy) <wagner dot andrew at gmail>
Line 23: Line 26:
   
 
Lloyd Allison <lloyd dot allison at infotech dot monash dot edu dot au>
 
Lloyd Allison <lloyd dot allison at infotech dot monash dot edu dot au>
  +
  +
Jim Geovedi <jim at geovedi dot com>
   
 
Paul Berg (Procyon) <procyon at procyondevelopments dot com>
 
Paul Berg (Procyon) <procyon at procyondevelopments dot com>
Line 39: Line 44:
   
 
Hans van Thiel <hthiel dot char á zonnet tot nl> [automated rule discovery, author of the Emping data mining utility]
 
Hans van Thiel <hthiel dot char á zonnet tot nl> [automated rule discovery, author of the Emping data mining utility]
  +
  +
Alp Mestanogullari (Alpounet) <alp (at) mestan (dot) fr> [machine learning mainly]
  +
  +
Chris Pettitt (cpettitt) <cpettitt at gmail>
  +
  +
Nathaniel Neitzke (nneitzke) <nightski at gmail>
  +
  +
Ricardo Honorato-Zimmer (_rata_) <rikardo dot horo at gmail dot com>
  +
  +
Raphael Javaux (RaphaelJ) <raphaeljavaux at gmail dot com>
  +
  +
Mahmut Bulut (vertexclique) <mahmutbulut0 at gmail dot com> (ML, natural language processing, swarming intelligence)
  +
  +
Mike Izbicki <mike at izbicki.me>
  +
  +
Chris Taylor (crntaylor) <crntaylor at gmail>
  +
  +
Libor Wagner <wagnelib at cmp dot felk dot cvut dot cz>
   
 
== Ideas ==
 
== Ideas ==
Line 72: Line 95:
 
Polytypic unification - unification seems particularly useful for AI tasks (at least natural language stuff)... wouldn't be nice to have a generic library that does it for you?
 
Polytypic unification - unification seems particularly useful for AI tasks (at least natural language stuff)... wouldn't be nice to have a generic library that does it for you?
 
*http://www.cs.chalmers.se/~patrikj/poly/unify/
 
*http://www.cs.chalmers.se/~patrikj/poly/unify/
  +
  +
Easy-to-use work-in-progress neural network library, by [[User:AlpMestan|Alp Mestan]] and Chaddaï Fouché :
  +
*http://github.com/alpmestan/HNN/tree/master
  +
  +
Implementation of some of the algorithms in Russell and Norvig's "Artificial Intelligence: A Modern Approach", by [[User:Crntaylor|Chris Taylor]]:
  +
*https://github.com/chris-taylor/aima-haskell
   
 
== Proposed Module Hierarchy ==
 
== Proposed Module Hierarchy ==
Line 79: Line 108:
 
**AI.Logic
 
**AI.Logic
 
**AI.Planning
 
**AI.Planning
  +
***AI.Planning.Swarm
 
**AI.Probabilistic
 
**AI.Probabilistic
 
**AI.Learning
 
**AI.Learning
Line 117: Line 147:
 
*[[/Genetic programming/Evolutionary chess]]
 
*[[/Genetic programming/Evolutionary chess]]
 
*[[/Genetic programming/GPLib]]
 
*[[/Genetic programming/GPLib]]
  +
  +
  +
== External links ==
  +
  +
* [http://hackage.haskell.org/packages/archive/pkg-list.html#cat:ai Packages at Hackage, marked AI]
  +
* [https://patch-tag.com/r/alpmestan/hasklab/wiki/ HaskLab Wiki]
  +
* [http://projects.haskell.org/cgi-bin/mailman/listinfo/hasklab The HaskLab mailing-list]
  +
* [http://projects.haskell.org/pipermail/hasklab/ The HaskLab Archives] (mailing-list archive)
  +
* [http://jpmoresmau.blogspot.com/2010/09/digit-recognition-with-neural-network.html Digit recognition with a neural network. First attempt!] (Blog article)
  +
* [http://jpmoresmau.blogspot.com/2010/09/haskell-neural-network-plugging-space.html Haskell Neural Network: plugging a space leak] (Blog article)
  +
* [http://www.ki.informatik.uni-frankfurt.de/research/HCAR.html Further Reading]
  +
* [https://github.com/smichal/hs-logic hs-logic]; logic programming in Haskell (software on github)

Revision as of 08:34, 11 December 2012

Contents

1 Introduction

This is the home for the Haskell AI Strike Force! Here we will collect code, problems, papers, ideas, and people for putting together a flexible AI toolkit in Haskell.

2 People

If interested in contributing to or monitoring this project, please put your name, nickname (if applicable - e.g., if you talk on #haskell), and email address so we can keep each other up-to-date.

Mark Wong-VanHaren (marklar) <markwvh at gmail>

Andrew Wagner (chessguy) <wagner dot andrew at gmail>

Bryan Green (shevek) <dbryan dot green at gmail>

Ricardo Herrmann <rherrmann at gmail>

Dan Doel (dolio) <dan dot doel at gmail>

Chung-chieh Shan (ccshan) <ccshan at cs dot rutgers dot edu>

Adam Wyner (Lawman) <adam dot wyner dot info>

Allan Erskine (thedatabase) <allan dot erskine at gmail>

Dave Tapley (DukeDave) <dukedave at gmail>

Lloyd Allison <lloyd dot allison at infotech dot monash dot edu dot au>

Jim Geovedi <jim at geovedi dot com>

Paul Berg (Procyon) <procyon at procyondevelopments dot com>

Eric Kow (kowey) <eric dot kow at gmail> [watching on the sidelines]

Charles Blundell <blundellc at gmail>

Mathew Mills (mathewm) <mathewmills (at) gmail (dot) com>

Jason Morton (inverselimit) <jason.morton at gmail>

Jiri Hysek (dvekravy) <xhysek02 at stud dot fit dot vutbr dot cz> [NN, EA]

Shahbaz Chaudhary <shahbazc at gmail> [interested in GP]

Hans van Thiel <hthiel dot char á zonnet tot nl> [automated rule discovery, author of the Emping data mining utility]

Alp Mestanogullari (Alpounet) <alp (at) mestan (dot) fr> [machine learning mainly]

Chris Pettitt (cpettitt) <cpettitt at gmail>

Nathaniel Neitzke (nneitzke) <nightski at gmail>

Ricardo Honorato-Zimmer (_rata_) <rikardo dot horo at gmail dot com>

Raphael Javaux (RaphaelJ) <raphaeljavaux at gmail dot com>

Mahmut Bulut (vertexclique) <mahmutbulut0 at gmail dot com> (ML, natural language processing, swarming intelligence)

Mike Izbicki <mike at izbicki.me>

Chris Taylor (crntaylor) <crntaylor at gmail>

Libor Wagner <wagnelib at cmp dot felk dot cvut dot cz>

3 Ideas

4 Things that need a home

If there are things that should be included in the project, but you're not sure where it should go, place it here! I'll start with:

I've proposed a machine learning library for this year's Google Summer of Code. [1] There has been a few interested (and seemingly well qualified) students, too. I'm not sure if it qualifes as "AI", but if you are interested in this project (as a potential student, mentor, or just...well, interested), please add yourself to the above link, and/or get in touch with me at <ketil at malde dot org>. --Ketil 07:46, 26 March 2007 (UTC)

Martin Erwig's probabilistic functional programming (PFP) project, including an implementation of the probability monad:

Culmination of some recent posts about the probability monad on Random Hacks (including a darcs repository):

sigfpe's coverage and highly algebraic view of the probability monad in Haskell:

Two links I found today that are interesting:

Polytypic unification - unification seems particularly useful for AI tasks (at least natural language stuff)... wouldn't be nice to have a generic library that does it for you?

Easy-to-use work-in-progress neural network library, by Alp Mestan and Chaddaï Fouché :

Implementation of some of the algorithms in Russell and Norvig's "Artificial Intelligence: A Modern Approach", by Chris Taylor:

5 Proposed Module Hierarchy

  • AI
    • AI.Searching
      • AI.Searching.Evolutionary
    • AI.Logic
    • AI.Planning
      • AI.Planning.Swarm
    • AI.Probabilistic
    • AI.Learning
      • AI.Learning.Kernel
      • AI.Learning.NeuralNet
    • AI.Classification
      • AI.Classification.ExpertSystem
    • AI.Communication

6 Proposed sample format for a wiki page on a topic or sub-topic

AI/Logic/Fuzzy

The slashes show that Logic is a subpage of AI and Fuzzy is a subpage of AI/Logic. MediaWiki will then generate links back up the chain of pages. (Try the links to see)

  • Fuzzy logic is blah blah...
  • Sub-topics:
    • Trivial fuzzy logic in Haskell
    • Type 2 fuzzy logic
  • Links to existing literature:
    • General
      • My first fuzzy logic book
    • Specific to functional programming / Haskell
      • Fun with fuzzy functions
  • Typical problems:
    • Problem 1: blah blah blah
    • Problem 2: blah blah blah
  • List of people involved in the area
    • Me
    • Someone else
  • Body
    • List of goals
    • Progress being made on them
    • Code and documentation.

7 Current sub-pages


8 External links