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» Modeling Learners as Individuals and as Groups
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GECCO
2004
Springer
143views Optimization» more  GECCO 2004»
15 years 5 months ago
Efficient Clustering-Based Genetic Algorithms in Chemical Kinetic Modelling
Two efficient clustering-based genetic algorithms are developed for the optimisation of reaction rate parameters in chemical kinetic modelling. The genetic algorithms employed are ...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
JASSS
2002
68views more  JASSS 2002»
14 years 11 months ago
Group Reputation Supports Beneficent Norms
This paper demonstrates the role of group normative reputation in the promotion of an aggression reducing possession norm in an artificial society. A previous model of normative r...
David Hales
PCI
2001
Springer
15 years 4 months ago
A Knowledge Based Approach on Educational Metadata Use
One of the most rapidly evolving e-services is e-Learning, that is, the creation of advanced educational resources that are accessible on-line and, potentially, offer numerous adva...
Fotis Kokkoras, Demetrios G. Sampson, Ioannis P. V...
INFOCOM
2006
IEEE
15 years 5 months ago
Mistreatment in Distributed Caching Groups: Causes and Implications
— Although cooperation generally increases the amount of resources available to a community of nodes, thus improving individual and collective performance, it also allows for the...
Nikolaos Laoutaris, Georgios Smaragdakis, Azer Bes...
ALT
2009
Springer
15 years 8 months ago
Learning from Streams
Abstract. Learning from streams is a process in which a group of learners separately obtain information about the target to be learned, but they can communicate with each other in ...
Sanjay Jain, Frank Stephan, Nan Ye