Most logic-based AI research works at a meta-theoretical level, producing new logics and studying their properties. Little effort is made to show how these logics can be used to f...
The use of large quantities of common sense has long been thought to be critical to the automated understanding of the world. To this end, various groups have collected repositori...
William Pentney, Ana-Maria Popescu, Shiaokai Wang,...
Common sense knowledge can be efficiently collected from non-experts over the web in a similar fashion to the Open Mind family of distributed knowledge capture projects. We descri...
Information on Web2.0, generated by users of web based services, is both difficult to organize and organic in nature. Content categorization and search in such situation offers cha...
Mohammad Nauman, Shahbaz Khan 0003, Muhammad Amin,...
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
Digital devices today have little understanding of their realworld context, and as a result they often make stupid mistakes. To improve this situation we are developing a database...
In the literature, the validity of theories or models for trust is usually based on intuition and common sense. Theories and models are not often verified experimentally. The rese...
Catholijn M. Jonker, Joost J. P. Schalken, Jan The...