Publications by Andy Balaam

Comparing scalable algorithms for walking all nodes of a dependency graph.

Balaam, A.J. (2010). In R. Parkin, editor, Overload 97 (June 2010), pages 4-10. (Archived pre-print pdf)

An analysis of some work I did recently to walk all nodes of a graph using an algorithm that is scalable (keeping memory usage bounded) but which performs well. The crux of the problem is to handle nodes in batches. The main body of the paper describes the possible choices of how to find good batches to use.

Exploring developmental dynamics in evolved neural network controllers.

Balaam, A.J. (2006). PhD Thesis. School of Science and Technology, University of Sussex.

My DPhil thesis written at the Centre for Computational Neuroscience and Robotics at the University of Sussex. The research involved designing neural networks that exhibited "developmental" behaviour (i.e. structural change) that were used to control simulated robots performing tasks potentially of interest in exploring cognition.

Developmental Neural Networks for Agents.

Balaam, A.J. (2003). In Banzhaf, W., Christaller, T., Dittrich, P., Kim, J.T. and Ziegler, J., editors, Advances in Artificial Life, Proceedings of the 7th European Conference on Artificial Life (ECAL 2003), pages 154-163. Springer.

A talk summarising my progress in my DPhil work as it was in 2003.

nBrains: A New Type of Robot Brain.

Balaam, A.J. (2001). In J. Kelemen and P. Sosek, editors, Advances in Artificial Life : 6th European Conference, ECAL 2001 , Prague, Czech Republic, September 10-14, 2001, Proceedings, pages 491. Springer-Verlag Heidelberg.

A short paper completed during my MSc at the CCNR describing the use of a multi-dimensional "phase space" containing attractors as a dynamical control system for simulated robots.