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Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Publications
On the amount of information resulting from empirical and theoretical knowledge.
Typ:
Jornal article
Authors:
Vajda I., Veselý A., Zvárová J.
Name of journal:
Revista Mathématica Complutense
Volume:
18
Year:
2005
Number:
2
Pages:
275-283
ISSN:
1139-1138
Keywords:
ontology, knowledge area, empirical knowledge
Anotation:
A mathematical model consisting of a set of predicates and a given ontology is introduced, allowing a rigorous definition of the concepts of theoretical and empirical knowledge. Further, the classical information divergence is used to define the amount of information in empirical and theoretical knowledge. The information in theoretical knowledge is an extension of the well known "semantic information" formerly introduced by Carnap and Bar Hillel.