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    Faculty of Informatics, Eotvos Lorand University

    Emerging Artificial Societies Through Learning

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    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 tsimulation runs.

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    Description

    Title : Emerging Artificial Societies Through Learning
    Author(s) : Nigel Gilbert, Matthijs Den Besten, Akos Bontovics, Bart G W Craenen, Federico Divina, A E Eiben, Robert Griffioen, Gyorgy Hévízi, Andras Lõrincz, Ben Paechter, Stephan Schuster, Martijn C Schut, Christian Tzolov, Paul Vogt, Lu Yang
    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 tsimulation runs.
    Subject : unspecified
    Area : Other
    Language : English
    Year : 2006

    Affiliations Faculty of Informatics, Eotvos Lorand University
    Journal : Journal of Artificial Societies and Social Simulation
    Volume : 9
    Issue : 2
    Publisher : Surrey Scholarship Online
    Pages : 9
    Url : http://epubs.surrey.ac.uk/cress/15

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