Learning Appropriate ContextsBruceEdmondsauthorGenetic 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 that for context to be fully learnable a further step of abstraction is
necessary. Such contexts 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
are proposed.Cognitive PsychologyArtificial IntelligenceMachine Learning2001Springer-verlagConference Paper