Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/107655
Type: Conference paper
Title: An architecture for identifying emergent behavior in multi-agent systems
Author: Birdsey, L.
Szabo, C.
Citation: Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems, 2014 / Lomuscio, A., Scerri, P., Bazzan, A., Huhns, M. (ed./s), vol.2, pp.1455-1456
Publisher: IFAAMAS
Issue Date: 2014
ISBN: 9781634391313
Conference Name: 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS) (05 May 2014 - 09 May 2014 : Paris, France)
Statement of
Responsibility: 
Lachlan Birdsey and Claudia Szabo
Abstract: Multi-agent systems exhibit unexpected, emergent behavior as a result of the complexity of agent behaviors and their interactions. Despite significant research interest in the past decades, computational methods to identify and analyze emergence as it happens are still needed. This paper proposes a software architecture for identifying emergent behavior in a multi-agent system as it happens, using interval-based snapshots and emergent behavior metrics. We propose various distance functions to compare between the multiagent system under analysis and systems that have been previously shown to exhibit emergent behavior
Keywords: Emergence, interaction, multi-agent systems
Rights: © 2014, International Foundation for Autonomous Agents and Multiagent Systems (
RMID: 0030024039
Appears in Collections:Computer Science publications

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