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Reseach Article

Agent based Evolution Model in JAVA (ABEMJ)

by Shama Yazdani, Smit Anand, Nishat Afreen
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 18
Year of Publication: 2015
Authors: Shama Yazdani, Smit Anand, Nishat Afreen
10.5120/ijca2015907698

Shama Yazdani, Smit Anand, Nishat Afreen . Agent based Evolution Model in JAVA (ABEMJ). International Journal of Computer Applications. 131, 18 ( December 2015), 49-53. DOI=10.5120/ijca2015907698

@article{ 10.5120/ijca2015907698,
author = { Shama Yazdani, Smit Anand, Nishat Afreen },
title = { Agent based Evolution Model in JAVA (ABEMJ) },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 18 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 49-53 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number18/23553-2015907698/ },
doi = { 10.5120/ijca2015907698 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:27:46.127145+05:30
%A Shama Yazdani
%A Smit Anand
%A Nishat Afreen
%T Agent based Evolution Model in JAVA (ABEMJ)
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 18
%P 49-53
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The human dominance on earth exhibits a general rule-‘with intelligence comes power’. As of now, human brain is the most complicated object in the entire known universe. Agent Based Evolution Model in JAVA (ABEMJ) is a simulation designed on Java platform that portrays the learning and evolution of artificially intelligent agents. It is a two dimensional environment where agents mimicking human behavior, born with some minimum amount of energy survive, search for food and upon attaining a certain level, produce offspring. The agents showcase intelligence by using their memory for storing their experiences and learnings from their past mistakes. Their will to survive makes them protective about their food and they compete with each other using energy to win their only source of energy i.e. food. This paper describes a platform for the evolution of autonomous square shaped agents thus, providing an efficient tool for the study of artificial evolution and coevolution.

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Index Terms

Computer Science
Information Sciences

Keywords

Agent Based Evolution Model in Java (ABEMJ) ALife agents evolution genetic algorithm artificial intelligence positive food negative food.