The Imitation Game will be a major contemporary art exhibition curated by Clare Gannaway at Manchester Art Gallery, UK, March-August 2016. Inspired by Manchester's rich history of computer science, it will feature eight international contemporary artists exploring the theme of machines and the imitation of life. The exhibition will be part of the cultural programme for Manchester's role as European City of Science in 2016.
Artist Tove Kjellmark (Sweden) is making a new artwork for The Imitation Game exhibition, opening March 2016, in the form of two human-like robots which will sit in leather armchairs in the gallery and converse with each other on topics yet to be decided. They will detect and acknowledge the presence of human visitors to the gallery through movement and speech.
Running the software requires a Python 2.7 interpreter. This means it should run on all operating systems.
Running such a large simulation with a real-time constraint requires the use of the ^^SpiNNaker^^ platform. As a result, the software in its current state does not support running the simulation via the provided interface on host, but running only the simulation on host
Windows users need to install the Microsoft Visual C++ Compiler for Python 2.7 which is used when installing the numpy
package.
The easiest way to install everything is to clone the Alan Project repository, then run setup.py
. This will install all required dependencies automatically.
Note
The use of a virtualenv
is recommended.
git clone https://github.com/pabogdan/AlanProject
cd AlanProject
python setup.py develop
The last step is to
nengo_spinnaker_setup
Installing the scipy
package would increase the accuracy of the basal ganglia in the neural simulation. This needs to be installed separately if desired.
Installing the nengo_gui
package would allow for running graphically interactive neural simulations with the possibility of viewing live output from it. There are two types of installations available for it: using pip
[sudo] pip install nengo_gui
or direct and guaranteed up-to-date installation from their Git repository
git clone https://github.com/nengo/nengo_gui
cd nengo_gui
python setup.py develop
For nengo_gui
usage information visit their Github repository.