This work was done as a part of the project component of the course ‘R181-Computing for Collective Intelligence’ during my MPhil. All the code and associated files are also uploaded on Github. The project mainly stems from my interest to study whether colletive agents can learn to cooperate by evolving a unique language and to look deeper into the resultant language to see if it shares any common characteristics with human language. The complete PDF report is available here. ...

A blog containing the experiment descriptions and the analysis of model expansion techniques. Proposes a new model expansion technique, Envelope Expansion, that is shown to perform better on the CIFAR10 dataset.