PPHPC is a conceptual model which captures important characteristics of spatial agent-based models (SABMs), such as agent movement and local agent interactions. It was designed with several goals in mind:
The model can be implemented using substantially different approaches that ensure statistically equivalent qualitative results. Implementations may differ in aspects such as the selected system architecture, choice of programming language and/or agent-based modeling framework, parallelization strategy, random number generator, and so forth. By comparing distinct PPHPC implementations, valuable insights can be obtained on the computational and algorithmical design of SABMs in general.
Update article, final published version.
|Version||Submitter||First published||Last modified||Status|
|1.4.0||Nuno Fachada||Wed Nov 25 17:23:09 2015||Wed Nov 25 17:23:09 2015||Published|
|1.3.0||Nuno Fachada||Fri Nov 20 10:37:57 2015||Fri Nov 20 10:37:57 2015||Published|
|1.2.0||Nuno Fachada||Sat Oct 31 14:06:56 2015||Sat Oct 31 14:06:56 2015||Published|
|1.1.0||Nuno Fachada||Sat Aug 8 16:56:07 2015||Sat Aug 8 16:56:07 2015||Published|
|1.0.0||Nuno Fachada||Sat Aug 8 16:27:27 2015||Sat Aug 8 16:27:27 2015||Published Peer Reviewed|