Introduction to the ACM TIST special issue AI in social computing and cultural modeling

2010 ◽  
Vol 1 (1) ◽  
pp. 1-2 ◽  
Author(s):  
Huan Liu ◽  
Dana Nau
2011 ◽  
Vol 05 (03) ◽  
pp. 235-256 ◽  
Author(s):  
DU ZHANG ◽  
ÉRIC GRÉGOIRE

The focus of this introduction to this special issue is to draw a picture as comprehensive as possible about various dimensions of inconsistency. In particular, we consider: (1) levels of knowledge at which inconsistency occurs; (2) categories and morphologies of inconsistency; (3) causes of inconsistency; (4) circumstances of inconsistency; (5) persistency of inconsistency; (6) consequences of inconsistency; (7) metrics for inconsistency; (8) theories for handling inconsistency; (9) dependencies among occurrences of inconsistency; and (10) problem domains where inconsistency has been studied. The take-home message is that inconsistency is ubiquitous and handling inconsistency is consequential in our endeavors. How to manage and reason in the presence of inconsistency presents a very important issue in semantic computing, cloud computing, social computing, and many other data-rich or knowledge-rich computing systems.


2015 ◽  
Vol 15 (1) ◽  
pp. 1-26 ◽  
Author(s):  
Nicolas Kourtellis ◽  
Jeremy Blackburn ◽  
Cristian Borcea ◽  
Adriana Iamnitchi

2014 ◽  
Vol 7 (3) ◽  
pp. 329-332 ◽  
Author(s):  
Surya Nepal ◽  
Athman Bouguettaya ◽  
Cecile Paris

2016 ◽  
Vol 3 (2) ◽  
pp. 43-45 ◽  
Author(s):  
Kevin S. Xu ◽  
Nitin Agarwal ◽  
Dongwon Lee ◽  
Nathaniel Osgood

2014 ◽  
Vol 57 (9) ◽  
pp. 1279-1280
Author(s):  
G. Xu ◽  
A. Zhou ◽  
N. Agarwal

2019 ◽  
Vol 6 (5) ◽  
pp. 1038-1041
Author(s):  
Qun Jin ◽  
Weimin Li ◽  
Song Guo ◽  
Sethuraman Panchanathan

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