Title :
Spatial database for digital evolutionary machines in an artificial world without knowledge-base
Author :
Elek, Istvan ; Roden, Janos ; Nguyen, Thai Binh
Author_Institution :
Fac. of Inf., Eotvos Lorand Univ., Budapest, Hungary
Abstract :
The evolution simulation is a popular problem not only in biology but in the computer science as well. This paper will introduce the principles of the evolution units. An artificial organism, a digital evolutionary machine (DEM) will be constructed based on these principles. Properties and abilities of DEMs will be shown with resolved and pending questions. After the theoretical approach some experimental results will be shown as thousands of DEMs were created. Their life was observed and stored in a database. Some interesting analysis and charts will be shown in order to understand how DEMs work in the artificial world. Finally the DEMs´ future will be outlined.
Keywords :
biology computing; evolution (biological); visual databases; artificial world; biology; computer science; digital evolutionary machine; evolution simulation; evolution unit principles; spatial database; Context; Databases; Evolution (biology); Internet; Knowledge based systems; Meteorology; Organisms;
Conference_Titel :
Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-61284-374-2
DOI :
10.1109/IWACI.2011.6160044
