Macro and Micro Environment for Diversity of Behaviour in Artificial Life Simulation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Macro and Micro Environment for Diversity of Behaviour in Artificial Life Simulation. / Ch'ng, Eugene.

The 6th International Conference on Soft Computing and Intelligent Systems, The 13th International Symposium on Advanced Intelligent Systems. Institute of Electrical and Electronics Engineers (IEEE), 2012. p. 883-889.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Ch'ng, E 2012, Macro and Micro Environment for Diversity of Behaviour in Artificial Life Simulation. in The 6th International Conference on Soft Computing and Intelligent Systems, The 13th International Symposium on Advanced Intelligent Systems. Institute of Electrical and Electronics Engineers (IEEE), pp. 883-889, Joint 6th International Conference on Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), Kobe, Japan, 20/11/12. https://doi.org/10.1109/SCIS-ISIS.2012.6505014

APA

Ch'ng, E. (2012). Macro and Micro Environment for Diversity of Behaviour in Artificial Life Simulation. In The 6th International Conference on Soft Computing and Intelligent Systems, The 13th International Symposium on Advanced Intelligent Systems (pp. 883-889). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/SCIS-ISIS.2012.6505014

Vancouver

Ch'ng E. Macro and Micro Environment for Diversity of Behaviour in Artificial Life Simulation. In The 6th International Conference on Soft Computing and Intelligent Systems, The 13th International Symposium on Advanced Intelligent Systems. Institute of Electrical and Electronics Engineers (IEEE). 2012. p. 883-889 https://doi.org/10.1109/SCIS-ISIS.2012.6505014

Author

Ch'ng, Eugene. / Macro and Micro Environment for Diversity of Behaviour in Artificial Life Simulation. The 6th International Conference on Soft Computing and Intelligent Systems, The 13th International Symposium on Advanced Intelligent Systems. Institute of Electrical and Electronics Engineers (IEEE), 2012. pp. 883-889

Bibtex

@inproceedings{d1b335d1f44d456a9a7ba21ac854ea78,
title = "Macro and Micro Environment for Diversity of Behaviour in Artificial Life Simulation",
abstract = "The complexity of artificial life is produced not only via their genotype, but also by the environment that they thrive in. Past artificial life research focuses on the evolutionary behavior of artificial organisms from an intrinsic perspective of how concepts such as crossover and mutation increase the fitness of the organism, others focus on the emergent macrostate of a simulation that arises out of the local interaction of entities. This research aims to introduce an additional `affector' into artificial life simulations, namely, an enhanced environment where an added dimension of complex behaviour can be produced through the use of environment emitters.",
author = "Eugene Ch'ng",
year = "2012",
doi = "10.1109/SCIS-ISIS.2012.6505014",
language = "English",
isbn = "978-1-4673-2742-8",
pages = "883--889",
booktitle = "The 6th International Conference on Soft Computing and Intelligent Systems, The 13th International Symposium on Advanced Intelligent Systems",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
note = " Joint 6th International Conference on Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS) ; Conference date: 20-11-2012 Through 24-11-2012",

}

RIS

TY - GEN

T1 - Macro and Micro Environment for Diversity of Behaviour in Artificial Life Simulation

AU - Ch'ng, Eugene

PY - 2012

Y1 - 2012

N2 - The complexity of artificial life is produced not only via their genotype, but also by the environment that they thrive in. Past artificial life research focuses on the evolutionary behavior of artificial organisms from an intrinsic perspective of how concepts such as crossover and mutation increase the fitness of the organism, others focus on the emergent macrostate of a simulation that arises out of the local interaction of entities. This research aims to introduce an additional `affector' into artificial life simulations, namely, an enhanced environment where an added dimension of complex behaviour can be produced through the use of environment emitters.

AB - The complexity of artificial life is produced not only via their genotype, but also by the environment that they thrive in. Past artificial life research focuses on the evolutionary behavior of artificial organisms from an intrinsic perspective of how concepts such as crossover and mutation increase the fitness of the organism, others focus on the emergent macrostate of a simulation that arises out of the local interaction of entities. This research aims to introduce an additional `affector' into artificial life simulations, namely, an enhanced environment where an added dimension of complex behaviour can be produced through the use of environment emitters.

U2 - 10.1109/SCIS-ISIS.2012.6505014

DO - 10.1109/SCIS-ISIS.2012.6505014

M3 - Conference contribution

SN - 978-1-4673-2742-8

SP - 883

EP - 889

BT - The 6th International Conference on Soft Computing and Intelligent Systems, The 13th International Symposium on Advanced Intelligent Systems

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - Joint 6th International Conference on Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS)

Y2 - 20 November 2012 through 24 November 2012

ER -