Handling uncertainty is an important component of most intelligent behaviour - so uncertainty resolution is a key step in the design of an artificially intelligent decision system(Clark, 1990). Like other aspects of intelligent systems design, the aspect of uncertainty resolution is also typically sought to be handled by emulating natural intelligence (Halpern,2003; Ball and Christensen, 2009). In this regard, a number of computational uncertainty resolution approaches have been proposed and tested by Artificial Intelligence (AI)researchers over the past several decades since birth of Al as a scientific discipline in early 1950s post- publication of Alan Turing's landmark paper (Turing, 1950).
|Title of host publication||Intelligent Systems|
|Editors||Vladimir M Koleshko|
|Place of Publication||Croatia|
|Number of pages||12|
|Publication status||Published - 2012|