Please use this identifier to cite or link to this item:
https://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) (5 May 2014 - 9 May 2014 : Paris, France) |
Editor: | Lomuscio, A. Scerri, P. Bazzan, A. Huhns, M. |
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 ( |
Appears in Collections: | Aurora harvest 3 Computer Science publications |
Files in This Item:
File | Description | Size | Format | |
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RA_hdl_107655.pdf Restricted Access | Restricted Access | 551.8 kB | Adobe PDF | View/Open |
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