CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Agent based Evolution Model in JAVA (ABEMJ)

by Shama Yazdani, Smit Anand, Nishat Afreen
journal cover thumbnail

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.

References
  1. Larry Yaeger, “Computational genetics, physiology, metabolism, neural systems, learning, vision, and behavior or polyworld: life in a new context
  2. Farmer J. Doyne and Belin Alletta d’ A. , “Artificial life: the coming evolution” SFI WORKING PAPER: 1990—003 in Proceedings in Celebration of Murray Gell-Man's 60th Birthday.
  3. M. A. Bedau. 2007. Artificial life. In M. Matthen and C. Stephens, eds.,Handbook of the Philosophy of Biology, pp. 585-603. Amsterdam: Elsevier
  4. Bedau, Mark A., “Artificial life: organization, adaptation and complexity from the bottom up” Elsevier,TRENDS in Cognitive Sciences,Vol.7 No.11 ,November 2003
  5. Paul E. Black, "Manhattan distance", in Dictionary of Algorithms and Data Structures [online], Vreda Pieterse and Paul E. Black, eds. 31 May 2006.
  6. Harp, S., T. Samad, and A. Guha (1990), “Towards the Genetic Synthesis of Neural Networks” In Proc. Third Intl.Conf. on Genetic Algorithms, edited by J. D. Schaffer, Morgan Kaufmann, San Mateo, CA, 1990
  7. de Boer, M. J. M., F. D. Fracchia, and P. Prusinkiewicz (1992), “Analysis and Simulation of the Development of Cellular Layers” In Artificial Life II, edited by C. Langton, C. Taylor, J. Farmer, and S. Rasmussen. Santa Fe Institute Studies in the Sciences of Complexity Proc. Vol. X. Addison-Wesley, Redwood City, CA, 1992
  8. Chalmers, D. (1991), "The Evolution of Learning: An Experiment in Genetic Connectionism" In Connectionist Models, Proceedings of the 1990 Summer School, edited by D. S. Touretzky, J. L. Elman, T. J. Sejnowski, G. E. Hinton, Morgan Kaufmann, San Mateo, CA, 1991.
  9. Nolfi, S., J. L. Elman, and D. Parisi (1990), "Learning and Evolution in Neural Networks", CRL Tech. Rep. 9019, Center for Research in Language, UCSD, La Jolla, CA, 1990.Humphries, M. D., Gurney, K., and Prescott, T. J. (2006). The brainstem reticular formation is a small-world, not scale-free, network. Proc. R. Soc. B, 273:503–511.
  10. Parisi, D., S. Nolfi, and F. Cecconi (1991), “Learning, Behavior, and Evolution”, Tech. Rep. PCIA-91-14, Dept. of Cognitive Processes and Artificial Intelligence, Institute of Psychology, C.N.R. - Rome, June 1991. (To appear in Proceedings of ECAL-91—First European Conference on Artificial Life, December 1991, Paris).
  11. Renault, O., N. M. Thalmann, and D. Thalmann (1990), “A Vision-based Approach to Behavioural Animation”, J. of Visualization and Computer Animation Vol. 1, 18-21.
  12. Cliff, D. (1991), “The Computational Hoverfly; a Study in Computational Neuroethology” In From Animals to Animats, Proceedings of the First International Conference on Simulation of Adaptive Behavior, edited by J.-A. Meyer and S. Wilson. A Bradford Book, MIT Press, Cambridge and London, 1991.
  13. McShea, D. W. (1996). Metazoan complexity and evolution: Is there a trend? Evolution, 50:477–492.
  14. Yaeger, L. S., Griffith, V., and Sporns, O. (2008). Passive and Driven Trends in the Evolution of Complexity. In Bullock, S. e. a., editor, Proceedings of the Artificial Life XI Conference, MIT Press, Cambridge, MA.
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.

Powered by PhDFocusTM