Deprecated hosting for this project. The new hosting is at
https://github.com/federicocerutti/ArgSemSAT

In particular, the source code for the publication:
Federico Cerutti, Massimiliano Giacomin, Mauro Vallati,
How we designed winning algorithms for abstract argumentation and which insight we attained,
Artificial Intelligence,
Volume 276,
2019,
Pages 1-40,
ISSN 0004-3702,
https://doi.org/10.1016/j.artint.2019.08.001.
(http://www.sciencedirect.com/science/article/pii/S0004370218302650)

is available at
https://github.com/federicocerutti/ArgSemSAT/releases/tag/1.0.5


Solving argumentation problems in Dung's AFs.

Authors:
Federico Cerutti <federico.cerutti@acm.org>
Mauro Vallati <m.vallati@hud.ac.uk>
Massimiliano Giacomin <massimiliano.giacomin@unibs.it>
Credits for porting to MacOSX: Roman Kutlak <r.kutlak@abdn.ac.uk>

Project Activity

See All Activity >

Categories

Research

License

MIT License

Follow ArgSemSAT

ArgSemSAT Web Site

Other Useful Business Software
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of ArgSemSAT!

Additional Project Details

User Interface

Command-line

Programming Language

C++

Related Categories

C++ Research Software

Registered

2014-03-31