Recognition and resolution of "comprehension uncertainty" in Al

Sukanto Bhattacharya, Kuldeep Kumar

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Abstract

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).
Original languageEnglish
Title of host publicationIntelligent Systems
EditorsVladimir M Koleshko
Place of PublicationCroatia
PublisherIn-Tech
Pages245-256
Number of pages12
ISBN (Print)978-953-51-0054-6
DOIs
Publication statusPublished - 2012

Fingerprint Dive into the research topics of 'Recognition and resolution of "comprehension uncertainty" in Al'. Together they form a unique fingerprint.

  • Cite this

    Bhattacharya, S., & Kumar, K. (2012). Recognition and resolution of "comprehension uncertainty" in Al. In V. M. Koleshko (Ed.), Intelligent Systems (pp. 245-256). Croatia: In-Tech. https://doi.org/10.5772/35987