- author = "Ewa Lach",
- title = "Learning Intelligent Behaviors of Animated Agents by Means of Genetic Programming",
- booktitle = "Proceedings of the VI International Conference on Artificial Intelligence AI-19",
- year = "2004",
- editor = "Mieczyslaw Klopotek",
- number = "21",
- volume = "1(23)",
- series = "Artificial Intelligence Studies",
- pages = "159--170",
- address = "University of Podlasie, Poland",
- month = "22 " # sep,
- keywords = "genetic algorithms, genetic programming",
- ISBN = "83-7051-306-9",
-
URL = "
http://www.bg.polsl.pl/expertusbin/expertus.cgi?KAT=%2Fvar%2Fwww%2Fbibgl%2Fexpertusdata%2Fpar%2F&FST=data.fst&FDT=data.fdt&ekran=ISO&lnkmsk=2&cond=AND&mask=2&F_00=06&V_00=Proceedings+on+VI+International+Conference+on+Artificial+Intelligence+AI-19+20",
- broken = "http://www.aistudies.ii.uph.edu.pl/article.php?id=16",
- abstract = "The paper presents the research on use of genetic programming for evolving behaviour of agents situated in virtual environment. The animation of virtual humans became a relevant issue in the industry for film, video and games. There is a great demand for the solutions that provide true automation of the extremely time-consuming animation process. There are researches on creation of autonomous, aware of environment, animated characters capable of independent planning of their motion. In the proposed approach the virtual character is treated as an automation executing some internal program so that to achieve some well defined goal. This program is created using layered learning genetic programming technique.",
-
notes = "http://ai.uph.edu.pl/archives/AI_2004.php
",
