Research Objectives
Using
evolutionary computation to explore complex systems
from the level of the gene to that of the mind
Current Projects
- Complex Networks
- Genetic regulatory networks
- Evolving recurrent neural networks
- Evolution of small world networks
- Evolution and Learning
- The
- Genetic redistribution
- Evolving neural networks
- Neutrality
- NK landscapes and variants
- Modeling biological neutrality
- Evolution of Language
- Genetic operators: effects on the evolutionary process
- Optimization over hierarchical fitness distributions
- Visualization of fitness landscapes
People
Events
- Genetic
Regulatory Networks, Special Session of CEC’03
- Mini-CEC*02 Program
- The 2002 Festival of Doubt Workshop
Affiliations
- School of Information Technology and Electrical Engineering
- Institute for Molecular Biosciences
- School of Psychology
- Festival of Doubt
Publications
2003
Wiles, J., & Tonkes, B. (2003). Mapping the Royal Road
and other Hierarchical Functions. To appear: Evolutionary Computation Journal. [PS] [PDF]
2002
Watson, J., Geard, N. & Wiles, J., (2002).
Stability and Task Complexity: A Neural Network Model of Evolution and
Learning. In Proceedings of the 8th International
Conference on the Simulation and Synthesis of Living Systems (Alife VIII). [PDF]
Wiles, J. & Tonkes, B. (2002). Hyperspace graph
paper: Visualising interactions between search algorithms and landscapes. In Alife VIII: Workshop Proceedings - Beyond
Fitness: Visualising Evolution, 177 - 182. [PDF]
Wiles, J., Watson, J., Tonkes, B. & Deacon, T. (2002).
Strange loops in learning and evolution. Presented at
ICCS02, submitted to InterJournal (May 2002). [PDF] [InterJournal]
Geard, N.,
Wiles, J., Hallinan, J. Tonkes, B. & Skellett, B., (2002). A Comparison
of Neutral Landscapes - NK, NKp and NKq. In Proceedings of the 2002
Congress on Evolutionary Computation. [PDF][summary]
Geard, N.
& Wiles, J., (2002). Diversity Maintenance on Neutral Landscapes: An
Argument for Recombination. In Proceedings of the 2002
Congress on Evolutionary Computation. [PDF][summary]
Wiles, J. & Tonkes, B., (2002). Visualisation
of Hierarchical Cost Surfaces for Evolutionary Computing. In Proceedings of the 2002 Congress on Evolutionary Computation.
[PDF] [PS]
Willadsen,
K. & Wiles, J., (2002). All binary representations are equal: But
some are more equal than others. In Proceedings of the
2002 Congress on Evolutionary Computation. [PDF]
Watson, J. & Wiles, J., (2002). The rise and fall
of learning: A neural network model of the genetic assimilation of acquired
traits. In Proceedings of the 2002 Congress on
Evolutionary Computation (CEC 2002), pp. 600-605. [PDF][summary]
Tonkes, B. (2002). On the Origins of Linguistic Structure: Computational models
of the evolution of language. PhD thesis, School of
Information Technology and Electrical Engineering, University of Queensland.
[PDF]
Tonkes, B. & Wiles, J. (2002). Methodological
issues in simulating the emergence of language. In A. Wray
(Ed) The Transition to Language, chapter 11. UK: Oxford
University Press, 226 - 251. [PDF]
[summary]
2001
Wiles, J., Tonkes, B. & Watson, J. (2001). How learning can guide evolution
in hierarchical modular tasks. In J. D. Moore & K. Stenning (Eds), Proceedings of
the 23rd Annual Conference of the Cognitive Science Society (CogSci 2001). Lawrence Erlbaum Associates, pp. 1130
- 1135. [PDF]
Wiles, J., Shulz, R., Bolland, S., Tonkes, B., & Hallinan,
J. (2001). Selection procedures for module discovery: Exploring
evolutionary algorithms for cognitive science. In J. D. Moore
& K. Stenning (Eds), Proceedings
of the 23rd Annual Conference of the Cognitive Science Society (CogSci 2001).
Wiles, J., Schulz, R., Hallinan,
J., Bolland, S. & Tonkes, B. (2001). Probing the persistent question marks. In L. Spector, E. Goodman, A. Wu, W. B. Langdon, H.-M. Voigt, M. Gen, S. Sen, M. Dorigo, S. Pezeshk, M. Garzon & E. Burke
(Eds), Proceedings of the Genetic and Evolutionary
Computation Conference (GECCO-2001). San Francisco, CA: Morgan
Kaufmann Publishers, 710 - 717. [PDF] [summary]
2000
Tonkes, B., Blair, A., & Wiles, J. (2000). Evolving
learnable languages. In S. A. Solla, T. K. Leen & K.-R.Muller (Eds) Advances in Neural Information Processing Systems
12, (NIPS*99) MIT Press, 66 - 72. [PDF] [summary]
1998
Tonkes, B., Blair, A. & Wiles, J. (1998). Inductive bias
in context-free language learning. In Proceedings
of the Ninth Australian Conference on Neural Networks (ACNN98), 52 - 56.
[PDF]
Tonkes, B., Blair, A. & Wiles, J. (1998). A
paradox of neural encoders and decoders, or, why don't we talk backwards? In B.
McKay, X. Yao, C. S. Newton, J.-H. Kim & T. Furuhashi (Eds) Lecture Notes
in Artificial Intelligence vol 1585: Proceedings of the Second Asia-Pacific
Conference on Simulated Evolution and Learning (SEAL98), Springer, 357 - 364. [PDF]
Unpublished
Tonkes, B., Blair, A., & Wiles, J. (1999). Getting
the Point Across: The Effect of Recurrent Network Biases on the Evolution of a
Simple Language. [PDF]