%0 Conference Paper %1 lim:1999:HNBBEGHB %A Lim, Ik Soo %A Thalmann, Daniel %B Proceedings of the Genetic and Evolutionary Computation Conference %C Orlando, Florida, USA %D 1999 %E Banzhaf, Wolfgang %E Daida, Jason %E Eiben, Agoston E. %E Garzon, Max H. %E Honavar, Vasant %E Jakiela, Mark %E Smith, Robert E. %I Morgan Kaufmann %K adaptive agents algorithms, and artificial behavior genetic life, programming, %P 1329--1335 %T How Not to Be a Black-Box: Evolution and Genetic-Engineering of High-Level Behaviours %U http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/AA-001.pdf %V 2 %X 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. %@ 1-55860-611-4

@inproceedings{lim:1999:HNBBEGHB, 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.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Orlando, Florida, USA}, author = {Lim, Ik Soo and Thalmann, Daniel}, biburl = {https://www.bibsonomy.org/bibtex/24a89f4e1a55275b5c28000d1e74f23bb/brazovayeye}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Banzhaf, Wolfgang and Daida, Jason and Eiben, Agoston E. and Garzon, Max H. and Honavar, Vasant and Jakiela, Mark and Smith, Robert E.}, interhash = {979e418f96f690c03532b282dfc50361}, intrahash = {4a89f4e1a55275b5c28000d1e74f23bb}, isbn = {1-55860-611-4}, keywords = {adaptive agents algorithms, and artificial behavior genetic life, programming,}, month = {13-17 July}, 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}, pages = {1329--1335}, publisher = {Morgan Kaufmann}, publisher_address = {San Francisco, CA 94104, USA}, timestamp = {2008-06-19T17:45:37.000+0200}, title = {How Not to Be a Black-Box: Evolution and Genetic-Engineering of High-Level Behaviours}, url = {http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/AA-001.pdf}, volume = 2, year = 1999 }