[CPCC] Distinguished Seminar by Prof. Ali H. Sayed (CANCELLED)

[Hamid Jafarkhani]

Hi all,

Because of an emergency, today's talk is cancelled.
Sorry for any inconvenience.

Regards,
Hamid Jafarkhani
CPCC Director

On 11/9/2011 3:11 PM, Hamid Jafarkhani wrote:
> Title: BIO-INSPIRED COGNITION AND DIFFUSION ADAPTATION OVER NETWORKS
>
> Speaker: Ali H. Sayed
>
> Date: Nov. 17, 2011, Thu.
>
> Time: 1:00-2:00 PM
>
> Venue: 1114 NatSci I
>
> ABSTRACT
>
> Complex patterns of behavior are common in many biological networks,
> where no single agent is in command and yet forms of decentralized
> intelligence are evident. Examples include fish joining together in
> schools, birds flying in formation, bees swarming towards a new hive,
> and bacteria diffusing towards a nutrient source. While each
> individual agent in these biological networks is not capable of
> complex behavior, it is the combined coordination among multiple
> agents that leads to the manifestation of sophisticated order at the
> network level. The study of these phenomena opens up opportunities for
> collaborative research across several domains including economics, life
> sciences, biology, and information processing, in order to address and
> clarify several relevant questions such as: (a) how and why organized
> behavior arises at the group level from interactions among agents
> without central control? (b) What communication topologies enable
> the emergence of order at the higher level from interactions at the
> lower level? (c) How is information quantized during the diffusion of
> knowledge through the network? And (d) how does mobility influence the
> learning abilities of the agents and the network. Several disciplines
> are concerned in elucidating different aspects of these questions
> including evolutionary biology, animal behavior studies, physical
> biology, and even computer graphics. In the realm of signal processing,
> these questions motivate the need to study and develop decentralized
> strategies for information processing that are able to endow networks
> with real-time adaptation and learning abilities. This presentation
> examines several patterns of decentralized intelligence in biological
> networks, and describes diffusion adaptation and online learning
> strategies that our research group has developed in recent years to
> model and reproduce these kinds of behavior.
>
> SPEAKER'S BIOGRAPHY
>
> Ali H. Sayed is Professor of Electrical Engineering at the University of
> California, Los Angeles, and Principal Investigator of the UCLA Adaptive
> Systems Laboratory (www.ee.ucla.edu/asl<http://www.ee.ucla.edu/asl>).  He
> has published widely in the areas of adaptation and learning with over
> 350 articles and 5 books. His research interests span several fields
> including adaptation and learning, adaptive and cognitive networks,
> biological networks, cooperative behavior, distributed processing, and
> statistical signal processing.
>
>
> _______________________________________________
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>
>