Emerging Artificial Societies Through Learning

N. Gilbert, M. Besten, A. Bontovics, B.G.W. Craenen, F. Divina, A.E. Eiben, R. Griffioen, G. Hévízi, A. Lõrincz, B. Paechter, S. Schuster, M.C. Schut, C. Tzolov, P. Vogt, L. Yang

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    The NewTies project is implementing a simulation in which societies of agents are expected to develop 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 intended 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
    JournalJournal of Artificial Societies and Social Simulation
    Volume9
    Issue number2
    Publication statusPublished - 2006

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    Cite this

    Gilbert, N., Besten, M., Bontovics, A., Craenen, B. G. W., Divina, F., Eiben, A. E., ... Yang, L. (2006). Emerging Artificial Societies Through Learning. Journal of Artificial Societies and Social Simulation, 9(2).
    Gilbert, N. ; Besten, M. ; Bontovics, A. ; Craenen, B.G.W. ; Divina, F. ; Eiben, A.E. ; Griffioen, R. ; Hévízi, G. ; Lõrincz, A. ; Paechter, B. ; Schuster, S. ; Schut, M.C. ; Tzolov, C. ; Vogt, P. ; Yang, L. / Emerging Artificial Societies Through Learning. In: Journal of Artificial Societies and Social Simulation. 2006 ; Vol. 9, No. 2.
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    abstract = "The NewTies project is implementing a simulation in which societies of agents are expected to develop 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 intended 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.",
    author = "N. Gilbert and M. Besten and A. Bontovics and B.G.W. Craenen and F. Divina and A.E. Eiben and R. Griffioen and G. H{\'e}v{\'i}zi and A. L{\~o}rincz and B. Paechter and S. Schuster and M.C. Schut and C. Tzolov and P. Vogt and L. Yang",
    year = "2006",
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    Gilbert, N, Besten, M, Bontovics, A, Craenen, BGW, Divina, F, Eiben, AE, Griffioen, R, Hévízi, G, Lõrincz, A, Paechter, B, Schuster, S, Schut, MC, Tzolov, C, Vogt, P & Yang, L 2006, 'Emerging Artificial Societies Through Learning', Journal of Artificial Societies and Social Simulation, vol. 9, no. 2.

    Emerging Artificial Societies Through Learning. / Gilbert, N.; Besten, M.; Bontovics, A.; Craenen, B.G.W.; Divina, F.; Eiben, A.E.; Griffioen, R.; Hévízi, G.; Lõrincz, A.; Paechter, B.; Schuster, S.; Schut, M.C.; Tzolov, C.; Vogt, P.; Yang, L.

    In: Journal of Artificial Societies and Social Simulation, Vol. 9, No. 2, 2006.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Emerging Artificial Societies Through Learning

    AU - Gilbert, N.

    AU - Besten, M.

    AU - Bontovics, A.

    AU - Craenen, B.G.W.

    AU - Divina, F.

    AU - Eiben, A.E.

    AU - Griffioen, R.

    AU - Hévízi, G.

    AU - Lõrincz, A.

    AU - Paechter, B.

    AU - Schuster, S.

    AU - Schut, M.C.

    AU - Tzolov, C.

    AU - Vogt, P.

    AU - Yang, L.

    PY - 2006

    Y1 - 2006

    N2 - The NewTies project is implementing a simulation in which societies of agents are expected to develop 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 intended 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 develop 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 intended 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.

    M3 - Article

    VL - 9

    JO - Journal of Artificial Societies and Social Simulation

    JF - Journal of Artificial Societies and Social Simulation

    SN - 1460-7425

    IS - 2

    ER -

    Gilbert N, Besten M, Bontovics A, Craenen BGW, Divina F, Eiben AE et al. Emerging Artificial Societies Through Learning. Journal of Artificial Societies and Social Simulation. 2006;9(2).