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ECAI
2000
Springer
15 years 10 months ago
Learning Classification taxonomies from a classification knowledge based system
Knowledge-based systems (KBS) are not necessarily based on well-defined ontologies. In particular it is possible to build KBS for classification problems, where there is little con...
Hendra Suryanto, Paul Compton
ITRE
2005
IEEE
15 years 11 months ago
Some studies and lessons learned from ad hoc learning
This work proposes concepts, designs, experiences and lessons learned from some studies of ad hoc learning supported by wireless and mobile technologies. The ad hoc learning activi...
Chih-Yung Chang, Yuh-Shyan Chen, Tai-Chien Kao, Ja...
UM
2005
Springer
15 years 11 months ago
Modeling Individual and Collaborative Problem Solving in Medical Problem-Based Learning
Abstract. Since problem solving in group problem-based learning is a collaborative process, modeling individuals and the group is necessary if we wish to develop an intelligent tut...
Siriwan Suebnukarn, Peter Haddawy
BC
2005
101views more  BC 2005»
15 years 6 months ago
A control theory approach to the analysis and synthesis of the experimentally observed motion primitives
Recent experiments on frogs and rats, have led to the hypothesis that sensory-motor systems are organized into a finite number of linearly combinable modules; each module generates...
Francesco Nori, Ruggero Frezza
GI
2007
Springer
16 years 7 days ago
A Discrete Event Simulation Framework for Agent-Based Modelling of Logistic Systems
: Agent-based simulation can be viewed as methodical advancement and generalization of microscopic modelling styles in object-oriented and discrete event simulation well suited for...
Bernd Page, Nicolas Knaak, A. Kruse