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

artificial intelligence
decision

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
Bhattacharya, Sukanto ; Kumar, Kuldeep. / Recognition and resolution of "comprehension uncertainty" in Al. Intelligent Systems. editor / Vladimir M Koleshko. Croatia : In-Tech, 2012. pp. 245-256
@inbook{97c23e48ee134b7bb4cf833e391e1b4b,
title = "Recognition and resolution of {"}comprehension uncertainty{"} in Al",
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).",
author = "Sukanto Bhattacharya and Kuldeep Kumar",
year = "2012",
doi = "10.5772/35987",
language = "English",
isbn = "978-953-51-0054-6",
pages = "245--256",
editor = "Koleshko, {Vladimir M}",
booktitle = "Intelligent Systems",
publisher = "In-Tech",
address = "Croatia",

}

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

Recognition and resolution of "comprehension uncertainty" in Al. / Bhattacharya, Sukanto; Kumar, Kuldeep.

Intelligent Systems. ed. / Vladimir M Koleshko. Croatia : In-Tech, 2012. p. 245-256.

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

TY - CHAP

T1 - Recognition and resolution of "comprehension uncertainty" in Al

AU - Bhattacharya, Sukanto

AU - Kumar, Kuldeep

PY - 2012

Y1 - 2012

N2 - 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).

AB - 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).

U2 - 10.5772/35987

DO - 10.5772/35987

M3 - Chapter

SN - 978-953-51-0054-6

SP - 245

EP - 256

BT - Intelligent Systems

A2 - Koleshko, Vladimir M

PB - In-Tech

CY - Croatia

ER -

Bhattacharya S, Kumar K. Recognition and resolution of "comprehension uncertainty" in Al. In Koleshko VM, editor, Intelligent Systems. Croatia: In-Tech. 2012. p. 245-256 https://doi.org/10.5772/35987