SuperLectures.com

GLOBAL EMERGENT BEHAVIORS IN CLOUDS OF AGENTS

Bio-inspired Information Processing and Networks

Full Paper at IEEE Xplore

Přednášející: José M.F. Moura, Autoři: Soummya Kar, Princeton University, United States; José M.F. Moura, Carnegie Mellon University, United States

Networks of biological agents (for example, ants, bees, fish, birds) and complex man-made cyberphysical infrastructures (for example, the power grid, transportation networks) exhibit one thing in common -- the emergence of collective global phenomena from apparently random local interactions. This paper proposes a distributed graphical model of interacting agents (a stochastic network type model) and studies its appropriate asymptotics. We show that metastability may occur -- i.e., under certain conditions, the agents act in synchrony and may exhibit collectively possibly different stable equilibria -- these are the global emergent behaviors of the cloud of interacting agents. We characterize these global behaviors as emph{synchronous} fixed points determined from ordinary differential equations that arise as mean field limits of the adopted stochastic model.


  Přepis řeči

|

  Slajdy

Zvětšit slajd | Zobrazit všechny slajdy

0:00:44

  1. slajd

0:04:14

  2. slajd

0:05:43

  3. slajd

0:08:02

  4. slajd

0:09:17

  5. slajd

0:12:20

  6. slajd

0:13:32

  7. slajd

0:14:38

  8. slajd

0:16:07

     1. slajd

0:16:23

  9. slajd

0:17:17

 10. slajd

0:17:28

 11. slajd

0:17:35

     9. slajd

0:17:49

 12. slajd

0:18:21

 13. slajd

  Komentáře

Please sign in to post your comment!

  Informace o přednášce

Nahráno: 2011-05-24 17:35 - 17:55, Club D
Přidáno: 15. 6. 2011 17:58
Počet zhlédnutí: 19
Rozlišení videa: 1024x576 px, 512x288 px
Délka videa: 0:20:53
Audio stopa: MP3 [7.07 MB], 0:20:53