Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

10

CONTEXT
2001
Springer

favoriteEmaildiscussreport

82views Modeling and Simulation» more CONTEXT 2001»

Learning Appropriate Contexts

13 years 9 months ago

Learning Appropriate Contexts

Download cfpm.org

Genetic Programming is extended so that the solutions being evolved do so in the context of local domains within the total problem domain. This produces a situation where different “species” of solution develop to exploit different “niches” of the problem –indicating exploitable solutions. It is argued context to be fully learnable a further step of abstraction is necessary. texts abstracted from clusters of solution/model domains make sense of the problem of how to identify when it is the content of a model is wrong and when it is the context. Some principles of learning to identify useful contexts

Bruce Edmonds

Real-time Traffic

CONTEXT 2001 | Domains Make Sense | Local Domains | Modelling And Simulation | Total Problem Domain |

claim paper

Related Content

» On Appropriate Adaptation Levels for the Learning of Gene Linkage

» ContextDependent Personalised Feedback Prioritisation in Exploratory Learning for Mathemat...

» Finding Appropriate Learning Objects An Empirical Evaluation

» On the appropriateness of evolutionary rule learning algorithms for malware detection

» Technology Appropriation in FacetoFace Collaborative Learning

» Are evolutionary rule learning algorithms appropriate for malware detection

» Mobile Learning in School Contexts Can Teachers Alone Make It Happen

» Facilitating Learning in Advanced Computer Architecture through Appropriate Simulation

» An Experiment On Learning Appropriate Selectional Restrictions From A Parsed Corpus

Post Info
More Details (n/a)

Added	28 Jul 2010
Updated	28 Jul 2010
Type	Conference
Year	2001
Where	CONTEXT
Authors	Bruce Edmonds

Comments (0)