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IJCAT
2008
69views more  IJCAT 2008»
15 years 4 months ago
A knowledge hierarchy model for adaptive multi-agent systems
: Adaptivity in software is important since business processes, business rules and business terms constantly evolve. A radical solution is described that makes use of the inherent ...
Liang Xiao 0002, Des Greer
FUZZIEEE
2007
IEEE
15 years 10 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
CSB
2005
IEEE
163views Bioinformatics» more  CSB 2005»
15 years 9 months ago
A symbolic approach to the simulation of biochemical models: application to circadian rhythms
Symbolic rewriting systems are gaining interest as tools for simulating biochemical dynamics. Compared to traditional methods based on differential equations, the symbolic approac...
Federico Fontana, Luca Bianco, Vincenzo Manca
ENTCS
2008
88views more  ENTCS 2008»
15 years 4 months ago
Formal Modelling of Salience and Cognitive Load
Well-designed interfaces use procedural and sensory cues to increase the salience of appropriate actions and intentions. However, empirical studies suggest that cognitive load can...
Rimvydas Ruksenas, Jonathan Back, Paul Curzon, Ann...
BMCBI
2010
126views more  BMCBI 2010»
15 years 1 months ago
Systematic integration of experimental data and models in systems biology
Background: The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction ...
Peter Li, Joseph O. Dada, Daniel Jameson, Irena Sp...