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» Digital Evolution of Behavioral Models for Autonomic Systems
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TNN
2008
124views more  TNN 2008»
14 years 9 months ago
Just-in-Time Adaptive Classifiers - Part II: Designing the Classifier
Aging effects, environmental changes, thermal drifts, and soft and hard faults affect physical systems by changing their nature and behavior over time. To cope with a process evolu...
Cesare Alippi, Manuel Roveri
ADVCS
2007
108views more  ADVCS 2007»
14 years 9 months ago
Open Synchronous Cellular Learning Automata
Cellular learning automata is a combination of learning automata and cellular automata. This model is superior to cellular learning automata because of its ability to learn and als...
Hamid Beigy, Mohammad Reza Meybodi
KDD
2009
ACM
203views Data Mining» more  KDD 2009»
15 years 10 months ago
Characterizing individual communication patterns
The increasing availability of electronic communication data, such as that arising from e-mail exchange, presents social and information scientists with new possibilities for char...
R. Dean Malmgren, Jake M. Hofman, Luis A. N. Amara...
ICSE
2000
IEEE-ACM
15 years 1 months ago
Requirements engineering in the year 00: a research perspective
Requirements engineering (RE) is concerned with the identification of the goals to be achieved by the envisioned system, the operationalization of such goals into services and con...
Axel van Lamsweerde
ATAL
2005
Springer
15 years 3 months ago
The use of emotions to create believable agents in a virtual environment
In the past emotions have been dismissed as a distraction to the logical, scientific thought process. More recently however, the importance of emotion in human-like intelligence a...
Karthi Selvarajah, Debbie Richards