• DocumentCode
    3350232
  • Title

    Cognitive bioinformatics: computational cognitive model for dynamic problem solving

  • Author

    Kuchar, Olga Anna ; Reyes-Spindola, Jorge F. ; Benaroch, Michel

  • Author_Institution
    Pacific Northwest Nat. Lab., Richland, WA, USA
  • fYear
    2004
  • fDate
    16-17 Aug. 2004
  • Firstpage
    84
  • Lastpage
    92
  • Abstract
    We describe a new computational cognitive model that is being developed for solving complex problems in bioinformatics. This cognitive model was developed based on observing biologists solving problems in their current environments. Bioinformatics provides several challenges to current problem-solving environments: 1) massive heterogeneous data to mine and fuse; 2) quantity of information is growing and changing on a monthly basis; 3) knowledge base is being challenged and changed as biologists learn more (this occurs on a very short schedule). This paper describes the problem domain, evolution of this new model, the model itself how this model relates to current literature, and concludes with a summary of our ongoing research efforts.
  • Keywords
    biology computing; cognitive systems; knowledge based systems; problem solving; artificial intelligence; cognitive bioinformatics; complex problems; computational cognitive model; dynamic problem solving; heterogeneous data fusion; heterogeneous data mining; knowledge base; massive heterogeneous data; model evolution; problem domain; software engineering; Bioinformatics; Biological system modeling; Biology computing; Cognitive informatics; Computational modeling; Databases; Fuses; Humans; Laboratories; Problem-solving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics, 2004. Proceedings of the Third IEEE International Conference on
  • Print_ISBN
    0-7695-2190-8
  • Type

    conf

  • DOI
    10.1109/COGINF.2004.1327462
  • Filename
    1327462