摘要: A personal account of the emergence and development generalized information theory (GIT) in context data-driven (inductive) systems modeling. In GIT, is defined terms relevant uncertainty reduction. Main results regarding measures uncertainty-based Dempster-Shafer evidence possibility are overviewed, their role three basic principles discussed: maximum uncertainty, minimum invariance. Finally, some open problems undeveloped areas GIT examined.
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