A Knowledge Based System Design for the Prediction of Supernova Effects in the Interstellar Environment

Author

Mendez-Gurrola, I.I. ; Laureano-Cruces, Ana Lilia ; Santillan-Gonzalez, A.J. ; Ramirez-Rodriguez, J.

Author_Institution

Maestria en Cienc. de la Comput., Univ. Autonoma Metropolitana, Mexico City

fYear

2007

fDate

4-10 Nov. 2007

Firstpage

26

Lastpage

35

Abstract

In our work, the design of the elementary components of a knowledge based system for the prediction of supernova effects is described. The domain is related with the modeling of the two supernova effects using fuzzy cognitive maps as knowledge representation and the maps feedback as inference engine to make the prediction. This work also describes the characteristics of (1) the application dominion and its representation, and (2) the results of the model through experimental tests and interpretations which represent the inference process.

Keywords

astronomy computing; inference mechanisms; knowledge based systems; knowledge representation; fuzzy cognitive maps; inference engine; interstellar environment; knowledge based system design; knowledge representation; maps feedback; supernova effects prediction; Artificial intelligence; Clouds; Electric shock; Explosions; Humans; Iris; Knowledge based systems; Predictive models; Temperature; Tin; fuzzy cognitive maps; maps feedback; prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence - Special Session, 2007. MICAI 2007. Sixth Mexican International Conference on

Conference_Location

Aguascallentes

Print_ISBN

978-0-7695-3124-3

Type

conf

DOI

10.1109/MICAI.2007.24

Filename

4659293