[bioinfo] Fwd: Luis Rocha: Nonlinear Dynamics and Complex Systems
Seminar this week
leiliu at uiuc.edu
Wed Oct 27 15:05:26 CDT 2004
Just think the following talk maybe interesting to some of you.
>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
>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,
>"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
>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.
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