I hereby nominate the following master's thesis for the
SAIS Best AI Master's Thesis 2002 award:
"Competitive Co-Evolution of Sensory-Motor Systems" written by Gunnar
Buason at the Department of Computer Science, University of Skövde
(HS-IDA-MD-02-004; 116 pages; supervisor: Tom Ziemke)
This master's thesis investigates the use of competitive co-evolutionary algorithms for automatic design of robotic systems. More specifically, it presents twenty-one simulation experiments that integrate and extend previous work on competitive co-evolution of neural robot controllers in a predator-prey scenario with work on the 'co-evolution' of robot morphology and control systems. The focus is on a systematic investiga- tion of tradeoffs and interdependencies between morphological parameters and behavioral strategies through a series of predator-prey experiments in which increasingly many aspects are subject to self-organization through competitive co-evolution.
[1] Buason & Ziemke (in press). Competitive Co-Evolution of Predator and Prey Sensory-Motor Systems. To appear in the proceedings of the Second European Workshop on Evolutionary Robotics (Colchester, UK, April 2003), Springer Verlag (Lecture Notes in Computer Science). [PDF, PS]
A 68-page appendix documenting in detail all experimental results is available as Technical Report HS-IDA-TR-02-004.
Gunnar Buason is continuing this work as a PhD student at the Department of Computer Science, University of Skövde, investigating the competitive co-adaptation of computer games and players.
Tom Ziemke