Seminar on Evolutionary Autonomous Agents (Alife) - 0368.4050.01
A few textbooks may serve as general background for the seminar:
Introduction to Genetic Algorithms, by Melanie Mitchell, Santa Fe Inst.,
Artificial Life, by Christopher Langton, 1995.
Artificial Life, by David Fogel, 1995.
(Copies of all these books are held by the library of exact sciences).
After a brief introduction to alife and genetic algorithms, we shall
focus on the computational evolution of autonomous agents. More specifically,
we shall concentrate on neural-network guided agents, and mainly on such
software agents (``softbots''). Our goal is to get a feeling of what can
be currently achieved with such agents, what tasks can they perform
and what it takes to successfully evolve them. Issues addressed will include
encoding schemes, the interaction of learning and evolution, and `higher-level'
functions. Finally, several other `applications' of alife to computer science
(other than autonomous agents) will be discussed.
List of tentative papers to be covered:
Enclosed below is the list of tentative papers for the seminar. The abstracts
of these papers may be seen by locating the pertaining journal vi the link
to Complex Adaptive Systems and Artificial Life in my homepage.
1. The perfect C. Elegans project,
Artificial Life, 4(2), 141-156, 1998.
2. Self adaptation in evolving systems,
Artificial Life, 4(2), 183-201, 1998.
3. PtGAs -- Genetic algorithms evolving non-coding segments by means of
Evolutionary Computation, 6(4), 361-386, 1998.
4. Conjugate schema and basis representation of crossover and mutation
Evolutionary Computation, 6(2), 129-160, 1998.
5. Adapting operator settings in GAs,
Evolutionary Computation, 6(2), 161-184, 1998.
6. Evolutionary induction of sparse neural trees,
Evolutionary Computation, 5(2), 213-236, 1997.
7. Changing representation during search: a comparative study of delta
Evolutionary Computation, 2(3), 249-278, 1994.
8. Evolutionary robotics and the radical envelope-of-noise hypothesis,
Adaptive Behavior, 6(2), 325-368, 1997.
9. Automatic definition of modular NNs,
Adaptive Behavior, 3(2), 151-183, 1994.
10. Sequential behavior and learning in evolved dynamical neural networks,
Adaptive Behavior, 2(3), 219-246, 1993.
11. On the dynamics of small continuous-time recurrent neural networks,
Adaptive Behavior, 3(4), 469-509, 1994.
12. Dynamical modules in an evolved model CPG for walking,
Journal of Neurophysiology ? [Probably may be down-loaded from
Randolph Beer's homepage at ???].
13. Neural Network representation using Kauffman Networks,
Artificial Life, 3(2), 67-80, 1997.
14. Using emergent modularity to develop control systems for mobile
Adaptive Behavior, 5(3,4), 343-364, 1996.
15. Incremental evolution of complex general behavior,
Adaptive Behavior, 5(3,4), 317-342, 1996.
Note: Participation in the seminar this year will be strictly limited
to twnety people. There will be vanishing overlap with the papers covered in
the seminar last year.
Last updated April, 1999