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Emerging Artificial Societies Through Learning

Gilbert, N, den 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 and Yang, L (2006) Emerging Artificial Societies Through Learning Journal of Artificial Societies and Social Simulation, 9 (2). http - //jasss.soc.surrey.ac.uk/9/2/9.html.

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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 tsimulation runs.

Item Type: Article
Uncontrolled Keywords: Artificial Societies Evolution of Language Decision Trees Peer-To-Peer Networks Social Learning
Related URLs:
Divisions: Faculty of Arts and Human Sciences > Sociology > Centre for Research in Social Simulation (CRESS)
Depositing User: Mr Adam Field
Date Deposited: 27 May 2010 14:42
Last Modified: 23 Sep 2013 18:33
URI: http://epubs.surrey.ac.uk/id/eprint/1587

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