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
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