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
Link To Document :
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