The CHREST software provides a graphical application and library for running a variety of CHREST models and experiments. Currently, the graphical interface supports a range of domain-types for demonstration and test purposes. More functionality for developing models is available using the scripting interface.
Sample data, examples of scripting and a user manual are included in the download and in the links below.
CHREST can be used in a wide number of applications, but the following application areas are specifically supported in the GUI:
- verbal learning
- pattern recognition and recall
- visual attention and memory
CHREST models can be developed using languages supported by the JVM. In most cases it is easy to call into a Java library using another JVM language, but some additional support is provided for Ruby and Lisp.
jRuby is an implementation of Ruby on the JVM. Once jRuby is installed, install the CHREST gem using:
$ jruby -S gem install jchrest --source https://gem.fury.io/peterlane/
and run a script using:
$ jruby demo-1.rb
The iowa gambling task model is also included, which uses CHREST’s emotions module.
The calling procedure into Python appears very natural, and you can use the javadoc documentation for CHREST without modification.
|Properties||Learn and Recognise|
|Paired Association||Model View|
|Learning Scenes||Recall of Scenes|