Tech.Appendix: LCS as EZCS2

The following script is still unfinished. It describes an agent of type $ANIMAT^{2}$ which follows the paradigm of an emotional LCS. See preceding chapters for more details.

The script is divided into the following sections:

1. zsc2_environment := Framework to generate an environment
2. zsc2_experiment := Framework to start and stop experiments
3. zsc2_animat := Structure of an ANIMAT2
4. zsc2_functions := Collection of those functions which define the behavior of an ANIMAT
5. zsc2_feedback := Extension of the functions regarding the feedback

Then you can see protocols of some runs.

Comment: I have written the algorithms for the LCS-agents as scilab scripts. This is at a first glance quite 'handsome' because the relationship between the theoretical text and the scilab functions is very close. For theoretical works is this a strong argument. Furthermore one can work with the same development environment under windows7 as well as under linux (ubuntu). Echanging files is no problem. But from a more 'practical' point of view it becomes more and more clear that the scilab development environment is a bit 'low graded' and can be very slow even on a 4-CPU high end PC if one has to change code -which is the most often event while coding- . Using screen output while running a script to improves understandability but slows the machine extremely down (whereby the 'logging' option with the diary()-command is nevertheless very convenient). There is an option to compile scilab; I didn't yet test this option. But even if this will work there is no simple way to improve the scripts in a way that allows a more object oriented development which is important for more serious work in the future.