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

    27 Citations (Scopus)

    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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