BISC Program; Soft Computing

BISC

The Berkeley Initiative in Soft Computing

Electrical Engineering and Computer Sciences Department

Welcome the BISC Program

NEWS: Dr. Masoud Nikrvaesh joined CITRIS and Lawrence Berkeley National Lab.(LBNL) as UC Berkeley-LBNL Executive Director,

to lead Computational Science and Engineering Program.

“The legacy of accomplishment, excellence and people

who contribute to the advancement of computational intelligence

through science and technology to better serve the global community”

“With over 5,000 members worldwide and growing and five main programs

1) PNL-CWP-Theory and Foundation 2) FLINT-Internet,

3) BISC-DSS-Decision Analysis, 4 ) IRESC-Reservoir Characterization,

and 5) CIBI- BioInformatics ”

The basic ideas underlying soft computing in its current incarnation have links to many earlier influences, among them Prof. Zadeh’s 1965 paper on fuzzy sets; the 1973 paper on the analysis of complex systems and decision processes; the 1976 paper on fuzzy-algorithmic approach, and the 1979 report (1981 paper) on possibility theory and soft data analysis.

BISC Program is the world-leading center for basic and applied research in soft computing. The principal constituents of soft computing (SC) are fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming belief networks, evolutionary computing including DNA computing, chaos theory and parts of learning theory. Some of the most striking achievements of BISC Program are: fuzzy reasoning (set and logic), new soft computing algorithms making intelligent, semi-unsupervised use of large quantities of complex data, uncertainty analysis, perception-based decision analysis and decision support systems for risk analysis and management, computing with words, computational theory of perception (CTP), and precisiated natural language (PNL).

-- Fuzzy sets, Inf. Control 8, 338-353, 1965.

-- Toward a Generalized Theory of Uncertainty (GTU)—An Outline, Information Sciences, 2005.

First Lotfi’s Powerpoint Presentation: PERCEPTION-BASED INTELLIGENT DECISION SYSTEMS (Lotfi A. Zadeh and Masoud Nikravesh, ONR Summer 2002)

40^th of “Fuzzy Sets” 50^th of "System Theory and Decision Analysis"

Computational Intelligence for Information and Internet Search

in the Interest of the Society (COINS)

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BISC Program