Emerging artificial societies through learning

Nigel Gilbert, Matthijs Den Besten, Akos Bontovics, Bart G W Craenen, Federico Divina, A. E. Eiben, Robert Griffioen, Gyorgy Hévízi, A. Lőrincz, Ben Paechter, Stephan Schuster, Martijn C. Schut, Christian Tzolov, Paul Vogt, Lu Yang

Research output: Contribution to journalArticle

27 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)135-154
Number of pages20
JournalJASSS
Volume9
Issue number2
Publication statusPublished - Mar 31 2006

Fingerprint

society
learning
simulation
social learning
infrastructure
language

Keywords

  • Artificial Societies
  • Decision Trees
  • Evolution of Language
  • Peer-To-Peer Networks
  • Social Learning

ASJC Scopus subject areas

  • Social Sciences(all)

Cite this

Gilbert, N., Den Besten, M., Bontovics, A., Craenen, B. G. W., Divina, F., Eiben, A. E., ... Yang, L. (2006). Emerging artificial societies through learning. JASSS, 9(2), 135-154.

Emerging artificial societies through learning. / Gilbert, Nigel; Den Besten, Matthijs; Bontovics, Akos; Craenen, Bart G W; Divina, Federico; Eiben, A. E.; Griffioen, Robert; Hévízi, Gyorgy; Lőrincz, A.; Paechter, Ben; Schuster, Stephan; Schut, Martijn C.; Tzolov, Christian; Vogt, Paul; Yang, Lu.

In: JASSS, Vol. 9, No. 2, 31.03.2006, p. 135-154.

Research output: Contribution to journalArticle

Gilbert, N, Den Besten, M, Bontovics, A, Craenen, BGW, Divina, F, Eiben, AE, Griffioen, R, Hévízi, G, Lőrincz, A, Paechter, B, Schuster, S, Schut, MC, Tzolov, C, Vogt, P & Yang, L 2006, 'Emerging artificial societies through learning', JASSS, vol. 9, no. 2, pp. 135-154.
Gilbert N, Den Besten M, Bontovics A, Craenen BGW, Divina F, Eiben AE et al. Emerging artificial societies through learning. JASSS. 2006 Mar 31;9(2):135-154.
Gilbert, Nigel ; Den Besten, Matthijs ; Bontovics, Akos ; Craenen, Bart G W ; Divina, Federico ; Eiben, A. E. ; Griffioen, Robert ; Hévízi, Gyorgy ; Lőrincz, A. ; Paechter, Ben ; Schuster, Stephan ; Schut, Martijn C. ; Tzolov, Christian ; Vogt, Paul ; Yang, Lu. / Emerging artificial societies through learning. In: JASSS. 2006 ; Vol. 9, No. 2. pp. 135-154.
@article{d77e4e64cc8d41de9325e93d16a2c1f6,
title = "Emerging artificial societies through 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.",
keywords = "Artificial Societies, Decision Trees, Evolution of Language, Peer-To-Peer Networks, Social Learning",
author = "Nigel Gilbert and {Den Besten}, Matthijs and Akos Bontovics and Craenen, {Bart G W} and Federico Divina and Eiben, {A. E.} and Robert Griffioen and Gyorgy H{\'e}v{\'i}zi and A. Lőrincz and Ben Paechter and Stephan Schuster and Schut, {Martijn C.} and Christian Tzolov and Paul Vogt and Lu Yang",
year = "2006",
month = "3",
day = "31",
language = "English",
volume = "9",
pages = "135--154",
journal = "Journal of Artificial Societies and Social Simulation",
issn = "1460-7425",
publisher = "University of Surrey",
number = "2",

}

TY - JOUR

T1 - 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 - Hévízi, Gyorgy

AU - Lőrincz, A.

AU - Paechter, Ben

AU - Schuster, Stephan

AU - Schut, Martijn C.

AU - Tzolov, Christian

AU - Vogt, Paul

AU - Yang, Lu

PY - 2006/3/31

Y1 - 2006/3/31

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.

AB - 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.

KW - Artificial Societies

KW - Decision Trees

KW - Evolution of Language

KW - Peer-To-Peer Networks

KW - Social Learning

UR - http://www.scopus.com/inward/record.url?scp=33645666350&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33645666350&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:33645666350

VL - 9

SP - 135

EP - 154

JO - Journal of Artificial Societies and Social Simulation

JF - Journal of Artificial Societies and Social Simulation

SN - 1460-7425

IS - 2

ER -