Citing this article

A standard form of citation of this article is:

Gilbert, Nigel, den Besten, Matthijs, Bontovics, Akos, Craenen, Bart G.W., Divina, Federico, Eiben, A.E., Griffioen, Robert, H&eacute;v&iacute;zi, Gy&ouml;rgy, Lõrincz, Andras, Paechter, Ben, Schuster, Stephan, Schut, Martijn C., Tzolov, Christian, Vogt, Paul and Yang, Lu (2006). 'Emerging Artificial Societies Through Learning'. Journal of Artificial Societies and Social Simulation 9(2)9 <http://jasss.soc.surrey.ac.uk/9/2/9.html>.

The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:

@article{gilbert2006,
title = {Emerging Artificial Societies Through Learning},
author = {Gilbert, Nigel and den Besten, Matthijs and Bontovics, Akos and Craenen, Bart G.W. and Divina, Federico and Eiben, A.E. and Griffioen, Robert and H\'{e}v\'{i}zi, Gy\"{o}rgy and L\\~{o}rincz, Andras and Paechter, Ben and Schuster, Stephan and Schut, Martijn C. and Tzolov, Christian and Vogt, Paul and Yang, Lu},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {9},
number = {2},
pages = {9},
year = {2006},
URL = {http://jasss.soc.surrey.ac.uk/9/2/9.html},
keywords = {Artificial Societies, Evolution of Language, Decision Trees, Peer-To-Peer Networks, Social Learning},
abstract = {The NewTies project is implementing a simulation in which societies of agents are expected to de-velop autonomously as a result of individual, population and social learning. These societies are expected to be able to solve environmental challenges by acting collectively. The challenges are in-tended to be analogous to those faced by early, simple, small-scale human societies. This report on work in progress outlines the major features of the system as it is currently conceived within the project, including the design of the agents, the environment, the mechanism for the evolution of language and the peer-to-peer infrastructure on which the simulation runs.},
}

The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.


TY - JOUR
TI - Emerging Artificial Societies Through Learning
AU - Gilbert, Nigel
AU - den Besten, Matthijs
AU - Bontovics, Akos
AU - Craenen, Bart G.W.
AU - Divina, Federico
AU - Eiben, A.E.
AU - Griffioen, Robert
AU - H&eacute;v&iacute;zi, Gy&ouml;rgy
AU - Lõrincz, Andras
AU - Paechter, Ben
AU - Schuster, Stephan
AU - Schut, Martijn C.
AU - Tzolov, Christian
AU - Vogt, Paul
AU - Yang, Lu
Y1 - 2006/03/31
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 9
IS - 2
SP - 9
UR - http://jasss.soc.surrey.ac.uk/9/2/9.html
KW - Artificial Societies
KW - Evolution of Language
KW - Decision Trees
KW - Peer-To-Peer Networks
KW - Social Learning
N2 - The NewTies project is implementing a simulation in which societies of agents are expected to de-velop autonomously as a result of individual, population and social learning. These societies are expected to be able to solve environmental challenges by acting collectively. The challenges are in-tended to be analogous to those faced by early, simple, small-scale human societies. This report on work in progress outlines the major features of the system as it is currently conceived within the project, including the design of the agents, the environment, the mechanism for the evolution of language and the peer-to-peer infrastructure on which the simulation runs.
ER -