- author = "Ik Soo Lim and Daniel Thalmann",
- title = "How Not to Be a Black-Box: Evolution and Genetic-Engineering of High-Level Behaviours",
- booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference",
- year = "1999",
- editor = "Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith",
- volume = "2",
- pages = "1329--1335",
- address = "Orlando, Florida, USA",
- publisher_address = "San Francisco, CA 94104, USA",
- month = "13-17 " # jul,
- publisher = "Morgan Kaufmann",
- keywords = "genetic algorithms, genetic programming, artificial life, adaptive behavior and agents",
- ISBN = "1-55860-611-4",
-
URL = "
http://ligwww.epfl.ch/~thalmann/papers.dir/GECCO99.pdf",
-
URL = "
http://citeseer.ist.psu.edu/242132.html",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco1999/AA-001.ps",
-
URL = "http://gpbib.cs.ucl.ac.uk/gecco1999/AA-001.pdf",
- abstract = "In spite of many success stories in various domains, Genetic Algorithm and Genetic Programming still suffer from some significant pitfalls. Those evolved programs often lack of some important properties such as robustness, comprehensibility, transparency, modifiability and usability of domain knowledge easily available. We attempt to resolve these problems, at least in evolving high-level behaviours, by adopting a technique of conditions-and-behaviours originally used for minimizing the learning space in reinforcement learning. We experimentally validate the approach on a foraging task.",
-
notes = "GECCO-99 A joint meeting of the eighth international
conference on genetic algorithms (ICGA-99) and the
fourth annual genetic programming conference
(GP-99).
computer animations, foraging task, non-transparency",
