Abstract—This paper describes the design of a knowledge
representation and reasoning system, named Dolphin, which is
based on higher-order temporal Transparent Intensional Logic
(TIL). An intelligent agent (NAM), that is able to read
newspaper headlines from specialized internet server and
allows users to ask questions about various world situations is
chosen to demonstrate Dolphin features. Temporal aspects play
an essential role in natural language therefore we present how
this phenomenon is handled in the system. Reasoning
capabilities of the agent are divided into three individual
strategies and described in the text. As a result we compare
NAM answers to one of the most used search engines nowadays.
Index Terms—Transparent Intensional Logic, Knowledge
Base, Dolphin, Inference, Temporal aspect, News answering
machine.
The authors are with Masaryk University, Faculty of Informatics, Czech
republic (e-mail: xgardon@fi.muni.cz; xhorak@fi.muni.cz).
Cite:A. Gardoň and A. Horák, "Knowledge Base for Transparent Intensional Logic and Its Use in Automated Daily News Retrieval and Answering Machine," International Journal of Machine Learning and Computing vol.2, no. 4, pp. 487-491, 2012.