SEE EMERGENCE AS A METAKNOWLEDGE - A Way to Reify Emergent Phenomena in Multiagent Simulations?

Daniel David, Rémy Courdier

Abstract

Emergence is a fascinating concept for most scientists, and multiagent simulations are known to allow and facilitate its representation. Research in this area yield to several definitions and classifications of emergent phenomena, but only a few of them offers a solution for a concrete reification of emergence in simulation. This paper deals with this important notion of emergence reification that, as we know, does not have yet formal mathematic definition, if any could be expressed. We need to progress on the conceptual meaning, leading to more global definitions but allowing to give a general conceptual framework that makes possible the reification of emergent phenomena in multiagent simulations. We define emergence as being a metaknowledge and we present a conceptual framework in which emergent phenomena can be detected and injected into simulation systems and be handled like other entities.

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Paper Citation


in Harvard Style

David D. and Courdier R. (2009). SEE EMERGENCE AS A METAKNOWLEDGE - A Way to Reify Emergent Phenomena in Multiagent Simulations? . In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8111-66-1, pages 564-569. DOI: 10.5220/0001803305640569


in Bibtex Style

@conference{icaart09,
author={Daniel David and Rémy Courdier},
title={SEE EMERGENCE AS A METAKNOWLEDGE - A Way to Reify Emergent Phenomena in Multiagent Simulations?},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2009},
pages={564-569},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001803305640569},
isbn={978-989-8111-66-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - SEE EMERGENCE AS A METAKNOWLEDGE - A Way to Reify Emergent Phenomena in Multiagent Simulations?
SN - 978-989-8111-66-1
AU - David D.
AU - Courdier R.
PY - 2009
SP - 564
EP - 569
DO - 10.5220/0001803305640569