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Organisation, cooperation and emergence in social learning agents


ORGANISATION, COOPERATION AND EMERGENCE IN SOCIAL LEARNING AGENTS

A EUROPEAN CONFERENCE ON ARTIFICAL LIFE (ECAL 2009) WORKSHOP

BUDAPEST, HUNGARY, September 2009.

web: http://www.4c.ucc.ie/ECAL2009/
mail: [email protected]


INTRODUCTION

Social learning describes the process whereby an individual acquires information from another in a non-genetic manner. There has been much recent research on social learning in simulated agents spanning the initial conditions favourable to their evolution, the evolution of communication systems and some initial research on the impact of social learning on the performance of coordinated agents. This research has taken the form of robotic language games, agent-based simulations, game
theoretic approaches and experiments with embodied robotic agents.

However, there are many issues regarding the impact of social learning which merit further exploration. In particular, the emergent effects of social learning on societies in terms of organisation and cooperation are still new areas of important research with great potential for furthering our understanding of such effects in natural systems.

This workshop will provide a venue for the dissemination and discussion of research spanning theoretical biology, multi-agent systems, game theory and artificial life.

OBJECTIVES

The main aims of this workshop will be to:

  • Attempt to understand how social learning can lead to the emergence of organised behaviour. In essence, can the addition of social learning to an evolutionary system lead to more complex organised societies capable of solving problems more efficiently?

  • Analyse how social behaviour can lead to cooperative behaviour and what conditions are necessary for the spread and survival of socially transmitted cooperative norms.

  • Understand how various approaches can impact the success or failure of social learning to acheive these goals.

CALL FOR PAPERS

Contributions invited addressing one or more of the following topics (the list is not exhaustive) are invited:

  • Social learning and coordination
  • Social learning and cooperation
  • Altruism and social learning
  • Emergence of organisation and social structures
  • Impact of social learning on evolutionary systems
  • Communication and language
  • The impact of topology
  • Social hierarchies
  • Kin selection
  • Reputation and tags

ORGANISING COMMITTEE

Dara Curran, University College Cork
Colm O’Riordan, National University of Ireland, Galway

PROGRAMME COMMITTEE

Michael Luck (King’s College London, UK)
Laurent Keller, (University of Lausanne, Switzerland)
Dara Curran (University College Cork, Ireland)
Nathan Griffiths (University of Warwick, UK)
Federico Divila (Pablo de Olavide University Spain)
Angelo Cangelosi (University of Plymouth, UK)
Jason Noble (University of Southampton, UK)
Stefano Nolfi (Institute of Cognitive Sciences and Technologies CNR, Italy)
Colm O’Riordan (NUI, Galway, Ireland)
Karl Tuyls (Eindhoven University of Technology, Netherlands)
Katja Verbeeck (University of Ghent, Belgium)
Daniel Kudenko (University of York, UK)
Paul Vogt (Tilburg University, Netherlands)

SUBMISSIONS

Papers have a maximum 8 page length.

Each submission will be subject to full peer review. A selection of the best papers will be invited to submit to a special section of the Journal of Artificial Societies and Social Simulation (http://jasss.soc.surrey.ac.uk/).

Please format your paper using the Springer LNCS style.

Submissions should be sent to [email protected]

IMPORTANT DATES

Submissions deadline: 30/06/2009
Notification of acceptance: 31/07/2009
Workshop begins: September (between the 12th and 17th)

Discussion

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