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Quantifying and tracing information cascades in swarms.

X Rosalind Wang¹, Jennifer M Miller, Joseph T Lizier

¹CSIRO Information and Communication Technologies Centre, Marsfield, New South Wales, Australia. Rosalind.Wang@csiro.au

|July 19, 2012

Summary

This study reveals how information cascades ripple through swarms like waves, using information theory to measure collective communication and memory. Findings show maximal information transfer correlates with peak collective memory in swarm dynamics.

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Area of Science:

Complex Systems
Information Theory
Collective Behavior

Background:

Swarm dynamics involve complex spatiotemporal interactions.
Understanding collective communication and memory is crucial for swarm coherence.
Previous research has conjectured information cascades propagate in waves.

Purpose of the Study:

To develop an information-theoretic framework for characterizing swarm cascades.
To measure collective communication and dynamic memory in swarms.
To investigate the relationship between individual spatial position and information processing roles.

Main Methods:

Utilizing information-theoretic measures to analyze spatiotemporal swarm dynamics.
Dynamically tracing collective memory as a measure of distributed computation.

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Conducting simulation experiments to verify theoretical predictions.

Main Results:

Demonstrated information cascades propagate in waves through swarms, providing direct evidence.
Identified diverse roles of individual spatial positions in information processing.
Showcased methods for filtering and predicting swarm dynamics features like wavefronts.
Observed that maximal information transfer follows maximal collective memory.

Conclusions:

The study provides the first information-theoretic evidence for wave-like information cascades in swarms.
Individual spatial positioning significantly influences information processing within the swarm.
Principles of information transfer and collective memory in swarms may generalize to other biological and social systems.