COOPERATIVE PREY HERDING BASED ON DIFFUSION ADAPTATION
Distributed and Collaborative Signal Processing
Presented by: Ali H. Sayed, Author(s): Sheng-Yuan Tu, Ali H. Sayed, University of California Los Angeles, United States
Mobile adaptive networks consist of a collection of nodes with learning and motion abilities that interact with each other locally in order to solve distributed processing and distributed inference problems in real-time. In this paper, we develop adaptation algorithms that exhibit self-organization properties and apply them to the model of cooperative hunting among predators. The results help provide an explanation for the agile adjustment of network patterns in the interaction between fish schools and predators.
Lecture Information
| Recorded: | 2011-05-27 09:30 - 09:50, Club B |
|---|---|
| Added: | 16. 6. 2011 00:50 |
| Number of views: | 45 |
| Video resolution: | 1024x576 px, 512x288 px |
| Video length: | 0:23:00 |
| Audio track: | MP3 [7.79 MB], 0:23:00 |
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