Title :
I/O-precedential process as an ontological parameter estimation
Author :
Kamiura, Moto ; Murata, Yu
Author_Institution :
Sch. of Sci. & Eng., Tokyo Denki Univ., Saitama, Japan
Abstract :
In this study, we present a mathematical format to represent influence for a system element without explicit assignment of another interacting element. This format is associated with a data flow process as a new type of numerical driven-dissipative systems. We show the driven-dissipative system can generate power law distributions.
Keywords :
numerical analysis; ontologies (artificial intelligence); parameter estimation; I/O-precedential process; data flow process; numerical driven-dissipative systems; ontological parameter estimation; power law distributions; Cognition; Educational institutions; Equations; Least squares approximation; Mathematical model; Parameter estimation; Vectors; Abduction; Driven-Dissipative System; Internal Measurement; Power law;
Conference_Titel :
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location :
Akita
Print_ISBN :
978-1-4673-2259-1
