Emerging Artificial Societies Through Learning
Created by W.Langdon from
gp-bibliography.bib Revision:1.8964
- @Article{gilbert2006,
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author = "Nigel Gilbert and Matthijs {den Besten} and
Akos Bontovics and Bart G. W. Craenen and
Federico Divina and A. E. Eiben and Robert Griffioen and
Gyorgy Hevizi and Andras Lorincz and Ben Paechter and
Stephan Schuster and Martijn C. Schut and Christian Tzolov and
Paul Vogt and Lu Yang",
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title = "Emerging Artificial Societies Through Learning",
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journal = "Journal of Artificial Societies and Social
Simulation",
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year = "2006",
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volume = "9",
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number = "2",
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pages = "9",
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keywords = "genetic algorithms, genetic programming, Decision
Q-trees, DQT, state-action-space, Artificial Societies,
Evolution of Language, Decision Trees, Peer-To-Peer
Networks, Social Learning",
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ISSN = "1460-7425",
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publisher = "University of Surrey, uk",
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URL = "
https://www.jasss.org/9/2/9.html",
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URL = "
https://www.jasss.org/9/2/9/9.pdf",
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URL = "
https://research.tilburguniversity.edu/en/publications/emerging-artificial-societies-through-learning/",
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URL = "
https://research.vu.nl/en/publications/emerging-artificial-societies-through-learning/",
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URL = "
https://openresearch.surrey.ac.uk/esploro/outputs/journalArticle/Emerging-Artificial-Societies-Through-Learning/99515635002346/filesAndLinks?index=0",
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URL = "
https://dblp.org/rec/journals/jasss/GilbertBBCDEGHLPSSTVY06.html?view=bibtex",
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size = "20 pages",
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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.",
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notes = "J. Artif. Soc. Soc. Simul. Also known as
\cite{DBLP:journals/jasss/GilbertBBCDEGHLPSSTVY06}
RePEc:jas:jasssj:2005-53-2
cited by \cite{1277023}
Copyright Journal of Artificial Societies and Social
Simulation, [2006]",
- }
Genetic Programming entries for
Nigel Gilbert
Matthijs den Besten
Akos Bontovics
Bart G W Craenen
Federico Divina
Gusz Eiben
Robert Griffioen
Gyorgy Hevizi
Andras Lorincz
Ben Paechter
Stephan Schuster
Martijn C Schut
Christian Tzolov
Paul A Vogt
Lu Yang
Citations