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SUMMARY:Adaptive Networks and Bio-Inspired Cognition - Prof A. H. Sayed\, 
 Electrical Engineering\, UCLA
DTSTART:20100923T130000Z
DTEND:20100923T143000Z
UID:TALK25471@talks.cam.ac.uk
CONTACT:Rachel Fogg
DESCRIPTION:Adaptive networks consist of spatially distributed agents that
  are linked together through a connection topology. The topology may vary 
 with time and the agents may also move. The agents cooperate with each oth
 er through local interactions and by means of in-network processing. The d
 iffusion of information across the network results in various forms of sel
 f-organizing behavior and collective intelligence. One property of adaptiv
 e networks is that all agents behave in an isotropic manner and are assume
 d to have similar abilities. This kind of behavior is common in many socio
 -economic and life and biological networks where no single agent is in com
 mand.\nAdaptive networks are well-suited to perform decentralized informat
 ion processing and decentralized inference tasks. They are also well-suite
 d to model self-organizing behavior such as animal flocking and swarming. 
 This talk describes research results on distributed processing over adapti
 ve networks and illustrates the techniques by studying self-organization i
 n biological networks such as bird formations\, fish schooling\, bee swarm
 ing\, and bacteria motility.\n\n
LOCATION:LR5\, Engineering\, Department of
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