학술논문
Learning Appropriate Contexts
Document Type
Conference Paper
Author
Source
Edmonds, Bruce (2001) Learning Appropriate Contexts. [Conference Paper]
Subject
Language
Abstract
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.