Learning Appropriate Contexts

CPM Report No.: 01-78
By: Bruce Edmonds
Date: 12th February 2001

Version Published as: Edmonds, B. (2001) Learning Appropriate Contexts, In: Akmand, V. et. al (eds.) Modelling and Using Context - CONTEXT 2001, Lecture Notes in Computer Science, 2116:143-155.


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 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.
Keywords: learning, conditions of application, context, evolutionary computing, error

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