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.
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.
|Divisions :||Faculty of Arts and Social Sciences > Department of Sociology > Centre for Research in Social Simulation (CRESS)|
|Uncontrolled Keywords :||Artificial Societies Evolution of Language Decision Trees Peer-To-Peer Networks Social Learning|
|Related URLs :|
|Depositing User :||Mr Adam Field|
|Date Deposited :||27 May 2010 14:42|
|Last Modified :||09 Jun 2014 13:27|
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