In-formation flocking: an approach to data visualization using multi-agent formation behavior

Authors:
Andrew Vande Moere;Andrea Lau
Affiliations:
Key Centre of Design Computing and Cognition, Faculty of Architecture, Design and Planning, The University of Sydney, Australia;Key Centre of Design Computing and Cognition, Faculty of Architecture, Design and Planning, The University of Sydney, Australia
Venue:
ACAL'07 Proceedings of the 3rd Australian conference on Progress in artificial life
Year:
2007

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Abstract

This paper presents in-formation flocking, a novel information visualization technique that extends the original information flocking concept with dynamic and data-driven visual formation behavior generation. This approach extends the emergent swarming properties of a decentralized multi-agent system in order to represent complex time-varying datasets through visually-recognizable formations and motion typologies. In-formation flocking is capable of representing volatile and inherently chaotic time-varying datasets while sustaining a comprehensible representation at a global level as well as revealing more detailed patterns in subsets of the data. This paper demonstrates the capabilities of in-formation flocking to historical stock market data.