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Towards Comprehensive Foundations of Computational Intelligence
[chapter]
2007
Studies in Computational Intelligence
Although computational intelligence (CI) covers a vast variety of different methods it still lacks an integrative theory. Several proposals for CI foundations are discussed: computing and cognition as compression, meta-learning as search in the space of data models, (dis)similarity based methods providing a framework for such meta-learning, and a more general approach based on chains of transformations. Many useful transformations that extract information from features are discussed.
doi:10.1007/978-3-540-71984-7_11
fatcat:vlfuzhxmgbbqlptp4wnpdty4ae