This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Emerging Artificial Societies Through Learning

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Nigel Gilbert ()
Matthijs den Besten ()
Akos Bontovics ()
Bart G.W. Craenen ()
Federico Divina ()
A.E. Eiben ()
Robert Griffioen ()
György Hévízi ()
Andras Lõrincz ()
Ben Paechter ()
Stephan Schuster ()
Martijn C. Schut ()
Christian Tzolov ()
Paul Vogt ()
Lu Yang ()

Additional information is available for the following registered author(s):

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 the evolution of language and the peer-to-peer infrastructure on which the simulation runs.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://jasss.soc.surrey.ac.uk/9/2/9/9.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Article provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.

Volume (Year): 9 (2006)
Issue (Month): ()
Pages:
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:jas:jasssj:2005-53-2

Contact details of provider:

For technical questions regarding this item, or to correct its listing, contact: ().

Related research
Keywords: Artificial Societies; Evolution of Language; Decision Trees; Peer-To-Peer Networks; Social Learning;

Statistics
Access and download statistics

Did you know? The most prolific authors have over 700 items listed on IDEAS.

This page was last updated on 2009-11-29.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.