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Computational intelligence techniques for general insurance

Author:
Pietro Parodi
Source:
SA0 submission
Publication date:
19 November 2009
File:
PDF 1.49 MB
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Document description

SA0 dissertation (Fellowship by research).

This paper is an attempt to answer the question "What is the proper framework for understanding risk?" in the context of general insurance. It argues that although actuaries and other risk professionals tend to deal with risk in the context of classical statistics and by resorting to subjective judgment to compensate the inadequacies of this framework, understanding risk is actually an 'ecological' problem and it is more fruitful to look at risk in the context of computational intelligence.