ITEM METADATA RECORD
Title: In-Formation Flocking: An Approach to Data Visualization Using Multi-Agent Formation Behavior
Authors: Vande Moere, Andrew
Lau, Andrea
Issue Date: 2007
Publisher: Springer
Host Document: Progress in Artificial Life pages:292-304
Conference: Australian Conference on Artificial Life (ACAL'07) location:Gold Coast, Australia date:4-6 December, 2007
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.
ISBN: 978-3-540-76930-9
Publication status: published
KU Leuven publication type: IHb
Appears in Collections:Department of Architecture - miscellaneous

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