worldwright.wordpress.com
Solving “Greater Than” Sudoku with Answer Set Programming | WorldWright's …
https://worldwright.wordpress.com/2015/05/06/solving-greater-than-sudoku-with-answer-set-programming
WorldWright's …. How to change the World – peacefully. Skip to primary content. Autonomy (Cambridge) said “YES” from 2004 to 2012. Solving “Greater Than” Sudoku with Answer Set Programming. Sergii Dymchenko recently posted a blog. Showing how a greater than sudoku can be solved with constraint logic programming and ECLiPSe CLP. Sergii’s post inspired me to do the same for answer setprogramming, with clasp/gringo. I’ve uploaded the code to github. Brief notes on ASP (& Sudoku). Join 2,510 other followers.
worldwright.wordpress.com
WorldWright's … | How to change the World – peacefully | Page 2
https://worldwright.wordpress.com/page/2
WorldWright's …. How to change the World – peacefully. Skip to primary content. Skip to secondary content. Autonomy (Cambridge) said “YES” from 2004 to 2012. Newer posts →. Solving “Greater Than” Sudoku with Answer Set Programming. Sergii Dymchenko recently posted a blog. Showing how a greater than sudoku can be solved with constraint logic programming and ECLiPSe CLP. Sergii’s post inspired me to do the same for answer setprogramming, with clasp/gringo. I’ve uploaded the code to github. Half of them fac...
minizinc.org
MiniZinc: Software
http://www.minizinc.org/software.html
You can download a completely self-contained package including MiniZinc 2.0.14, the MiniZinc IDE 2.0.14, and the G12 and Gecode solvers here:. 32 bit Windows installer. Mac OS X installer. 64 bit Linux binary archive. 32 bit Linux binary archive. The MiniZinc compiler developed by NICTA and Monash University is available from the MiniZinc 2.0. The MiniZinc IDE is a tool for writing and running MiniZinc models. SICStus (from version 4.0.5) includes a library for evaluating FlatZinc. The previous version o...
hsimonis.wordpress.com
ECLiPSe | Constraint Applications Blog by Helmut Simonis
https://hsimonis.wordpress.com/eclipse
Constraint Applications Blog by Helmut Simonis. Lots of Constraint Applications. Applications in this blog built using ECLiPSe are shown here. Development moved from ECRC via ICL to IC-Parc at Imperial College London, where much further development was performed. Ownership passed to the start-up company Parc Technologies Ltd in 1999. ECLiPSe was then acquired by Cisco Systems in 2004 with the sale of Parc Technologies Ltd. Cisco decided in 2005 to make ECLiPSe open-sourced, it is available. Fill in your ...
leancop.de
ileanCoP: Lean Connection-Based Theorem Proving
http://www.leancop.de/ileancop/index.html
Lean Connection-Based Theorem Proving. IleanCoP is a compact automated theorem prover for intuitionistic first-order logic based on the clausal connection calculus for intuitionistic logic. It extends the classical leanCoP prover by adding prefixes to the literals and a prefix unification algorithm. More details about the calculus can be found in the documentation. Theorem prover for intuitionistic first-order logic. Based on the intuitionistic connection calculus. Simple first-order form input format.
leancop.de
leanCoP: Lean Connection-Based Theorem Proving
http://www.leancop.de/leancopS.html
Lean Connection-Based Theorem Proving. Is the most recent version of leanCoP. Older versions are leanCoP 2.0. And leanCoP 1.0. Descriptions and performance results of these systems can be found in the documentation. Some references to work related to leanCoP. Are given below as well. LeanCoP 2.1 accepts TPTP input syntax, supports equality and outputs a connection proof. More information can be found in the documentation. LeanCoP 2.1 runs on ECLiPSe Prolog. The following package includes a ReadMe. The co...
leancop.de
MleanCoP: Lean Connection-Based Theorem Proving
http://www.leancop.de/mleancop/index.html
Lean Connection-Based Theorem Proving. MleanCoP is a compact automated theorem prover for modal first-order logic based on the clausal connection calculus for modal logic. It extends the classical leanCoP prover by adding prefixes to the literals and a prefix unification algorithm. Theorem prover for modal first-order logic. For the modal logics D, T, S4, and S5. For heterogeneous multimodal logics (v1.3). For constant, cumulative and varying domains. Based on the modal connection calculus. Jens Otten &m...
ru-declarative.livejournal.com
Picat - новый язык программирования, основанный на логике - ru_declarative
http://ru-declarative.livejournal.com/116401.html
Picat - новый язык программирования, основанный на логике - ru declarative. Picat - новый язык программирования, основанный на логике. Mar 19th, 2015 03:32 am. Недавно автор B-Prolog, профессор City University of New York Neng-Fa Zhou, придумал новый язык программирования - Picat (Pattern-matching, Imperative, Constraints, Actors, Tabling). Язык достаточно интересный. Официальный сайт - http:/ picat-lang.org/. С официального сайта можно скачать версии Picat для Linux, MacOS и Windows. Лично мне в Picat б...
llaisdy.wordpress.com
Solving “Greater Than” Sudoku with Answer Set Programming | absolute regularity
https://llaisdy.wordpress.com/2015/01/08/solving-greater-than-sudoku-with-answer-set-programming
Solving “Greater Than” Sudoku with Answer Set Programming. Thursday, 8th January, 2015. Sergii Dymchenko recently posted a blog. Showing how a “greater than” sudoku can be solved with constraint logic programming and ECLiPSe CLP. Sergii’s post inspired me to do the same for answer setprogramming, with clasp/gringo. I’ve uploaded the code to github. Brief notes on ASP (& Sudoku). I am just getting started with answer set prolog. Here are some first impressions:. Paint(R, C1, N), paint(R, C2, N), C1! The n...
