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10th Mexican International Conference on Artificial Intelligence

November 26 - December 4, 2011, Puebla, Mexico

(Puebla city is located near Mexico City (1,5 hours), regular buses are available from Mexico City Airport and Eastern Bus Terminal TAPO)

25th Anniversary of SMIA
10th Anniversary Edition of MICAI

 

KEYNOTE TALKS

 

Weiru Liu

 

Queen's University Belfast, UK

  

Knowledge validation, fusion and revision: coping with heterogeneous knowledge from multiple sources

 

Abstract: Uncertainty is pervasive -- modern information processing is characterized with dealing with unreliable, incomplete, vague, and imprecise knowledge and information. Uncertainty handling in knowledge and information has been a challenging problem, due to heterogeneity of uncertainty sources, modelling approaches, and characteristics. Fusion of multiple knowledge bases and information from different sources, subject to uncertainty and inconsistency, is an even harder task.

 

In this talk, I will discuss issues related to Knowledge validation, fusion and revision. I will explore their relationships, key challenges and highlight the importance of selecting correct fusion/revision methods when facing a real- world application. I will also touch upon various theories/frameworks that are available to model different types of uncertain knowledge / information, as well as the implications of each of such theories/frameworks entails.
 

Rada Mihalcea 

 

University of North Texas, USA

 

Natural Language Processing

 

 

 

 

 

 

 

Jesús Favela

 

CICESE Research Center, Mexico

 

Ambient Intelligence

 

 

 

 

 

 

 

 

Raúl Rojas

 

Freie Universität Berlin, Germany

 

Robotics

 

 

 

 

 

 

 

 

Janusz Kacprzyk

     

Polish Academy of Sciences, Poland

     

Towards an Extended Zadeh's Computing With Words