Title :
EVOGENTS: Evolving Agents
Author :
Hermano, Michael ; Chu, Shirley B. ; Pua, Daniel ; Tan, Stephen ; Victor, Andrei
Author_Institution :
Coll. of Comput. Studies, De La Salle Univ., Manila, Philippines
Abstract :
Evolving Agents or EVOGENTS for short is an undergraduate research thesis that demonstrates an alternative approach of applying evolutionary concepts on artificial intelligence. EVOGENTS are agents that live in a virtual world and their goal is to be able to survive. These agents are programmed with artificial intelligence and the ability to adapt in order for them to be able to handle unanticipated situations. This paper discusses the EVOGENTS system, the algorithms used, and presents the experiment results on the EVOGENTS ability to adapt on different environments.
Keywords :
artificial intelligence; software agents; EVOGENTS system; artificial intelligence; evolving agents; virtual world; Animals; Artificial intelligence; Bioinformatics; Educational institutions; Evolutionary computation; Genetic algorithms; Genomics; Machine learning; Machine learning algorithms; Safety; Artificial Life; Evolutionary Algorithms; Genetic Algorithms; Machine Learning;
Conference_Titel :
INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5209-5
Electronic_ISBN :
978-0-7695-3769-6
DOI :
10.1109/NCM.2009.57
