[bioinfo] Fwd: Luis Rocha: Nonlinear Dynamics and Complex Systems Seminar this week

[Lei Liu]

Hi, Everyone,

Just think the following talk maybe interesting to some of you.

Lei

>From: Glenn Foster <gfoster at uiuc.edu>
>Subject: Luis Rocha: Nonlinear Dynamics and Complex Systems Seminar this week
>Date: Tue, 26 Oct 2004 19:09:11 -0500
>X-Mailer: Apple Mail (2.619)
>
>The Nonlinear Dynamics and Complex Systems Seminar schedule is online at 
>http://www.ccsr.uiuc.edu/seminar_sched.html
>
>Thursday, October 28th 2004, Noon to 12:45pm, 280 MRL
>(MRL is the Materials Research Lab, on Goodwin between Green & Springfield)
>
>Luis M. Rocha ,   School of Informatics and Cognitive Science Program, 
>Indiana University
>
>"From Document Networks to the Adaptive Web: Applications to 
>Bioinformatics, Social Networks, and Recommendation Systems"
>
>Human organizations and cognition are undergoing extraordinary 
>transformation with the ubiquitous presence of electronic information 
>resources. Given that we as humans are naturally prone to assimilate 
>technology into our ever evolving cognitive apparatus, we should study and 
>produce tools that can best enhance the human-machine cognitive interplay. 
>Indeed, we need to build systems that can foster the creativity, 
>diversity, and adaptability of our interaction with external knowledge 
>resources.
>
>Towards this goal, in this talk I describe our development of Informatics 
>and Distributed Artificial Intelligence technology to discover, integrate, 
>and recommend relevant items stored in large collections of documents. Our 
>approach is based on the bottom-up methodology of complex systems theory, 
>namely it uses biological metaphors to produce applications that are 
>reactive, adaptive, and evolving. In particular, I will present the three 
>main layers of the Active Recommendation Project: the extraction of 
>co-occurrence (associative) networks from large collections of documents 
>and textual data, the discovery of implicit associations in these 
>networks, and an adaptive architecture which leads the associative 
>networks to adapt to and evolve with the behavior of their users. We refer 
>to these evolving, associative networks as adaptive webs.
>
>Throughout the exposition of the project's several layers, I will present 
>examples of their application in such problems as: knowledge discovery in 
>biomedical databases, analysis of social networks, and recommendation 
>systems for digital libraries.