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CILab is a research laboratory at the Department of Informatics of the University of Bari that engages in fundamental as well as applied research in the field of Computational Intelligence.
The CILab laboratory was founded by Prof. Anna Maria Fanelli and it is currently coordinated by Prof. Giovanna Castellano.

Computational Intelligence

Computational Intelligence (CI) concerns the design, the application, and the development of biologically and linguistically motivated computational paradigms. The guiding principle of CI is to exploit the key features of such paradigms that are their tolerance to imprecision, approximation, partial truth in order to obtain tractability, robustness and low cost solutions to real-world problems characterized by different degrees of uncertainty.
We are in the era of intelligent systems and the improvement of the MIQ (Machine Intelligence Quotient) is the ambitious goal appointed by the scientific community for the near future. Therefore, the employment of techniques which are able to cope the imprecision of the real world allows the achievement of robustness, low solution cost and a better rapport with reality. In this context, CI takes advantage of the main features belonging to different methodologies combined in a synergistic and complementary, rather than competitive, way:
  • Neural Computation supplies system identification, learning and adaptation;
  • Fuzzy Logic provides a methodology for dealing with imprecision, approximate reasoning, rule based systems and computing with words;
  • Genetic Algorithms allow a systematized random research and optimization techniques.
This is the way leading to the so-called "hybrid intelligent systems" which may have great potential in improving the interaction between man and machine in the very next future.


The central objectives of the CILab evolve around four axes:
  • investigation and mathematical foundation of CI methods
  • development of innovative methods in the CI field
  • application of the acquired expertise to address challenging real-life problems in different branches of science
  • dissemination of this knowledge to undergraduate and postgraduate students


Current research activity at the CILab grows around the following core topics
  • Granular Computing
  • Interpretable Fuzzy Systems
  • Fuzzy Image Processing and Retrieval
  • Fuzzy Clustering for Data Streams
  • Numerical Methods for Intelligent Data Analysis


  • Convegno del gruppo nazionale per il calcolo scientifico dell'INDAM Gabriella Casalino has presented her research project, awarded by INdAM GNCS prize "Progetto Giovani Ricercatori 2017", at "Convegno del gruppo nazionale per il calcolo scientifico dell'INDAM" that was held ...
    Posted Feb 19, 2018, 2:56 AM by Gabriella Casalino
  • SFLA2018 - June 25-29, 2018 The CILab is organizing the IV European Summer School on Fuzzy Logic and Applications which will be held in Bari from 25 to 29 June (sfla2018.di.uniba.it). The ...
    Posted Jan 11, 2018, 12:01 AM by Giovanna Castellano
  • Tutorial on "Fuzzy Systems Software", Dr. José Alonso Slides available at: http://dx.doi.org/10.13140/RG.2.2.11519.30880
    Posted Dec 14, 2017, 2:34 AM by Giovanna Castellano
  • Special Session on Advances on Explainable Artificial Intelligence 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU 2018)11 - 15 June 2018, Cádiz, Spainhttps://sites.google.com/view/xai-ipmu2018In ...
    Posted Oct 27, 2017, 6:57 AM by Corrado Mencar
  • Seminar on Data2Text Systems: “A hundred words are worth a million data” Prof. Dr. José María Alonso MoralCentro Singular de Investigación en Tecnoloxías da Información (CiTIUS)Universidade de Santiago de Compostela (USC), Spain27 ottobre 2017, ore 9:30 – 11:30 ...
    Posted Dec 14, 2017, 2:34 AM by Giovanna Castellano
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