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High‐speed generation of goal‐oriented scenarios using bidirectional combination of effect propagation on a qualitative and quantitative hybrid model
Author(s) -
Samejima Masaki,
Morita Yoshihiro,
Akiyoshi Masanori
Publication year - 2012
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.11443
Subject(s) - viewpoints , computer science , value (mathematics) , machine learning , physics , acoustics
This paper addresses the high‐speed generation of goal‐oriented scenarios on a qualitative and quantitative hybrid model. The goal‐oriented scenarios can be generated efficiently by a bidirectional combination of forward propagation and backward propagation, if differences between the values related to each scenario are small on a certain time step. Thus, the method combines the scenarios when each value can be regarded as the same from qualitative value viewpoints. Furthermore, the proposed method decides the number of both propagations to generate the required number of goal‐oriented scenarios while decreasing the number of time‐consuming backward propagations. Experimental results show that the computational time for generating the required number of goal‐oriented scenarios is decreased by 98% compared to solely forward propagation. © 2012 Wiley Periodicals, Inc. Electron Comm Jpn, 95(12): 10–20, 2012; Published online in Wiley Online Library ( wileyonlinelibrary.com ). DOI 10.1002/ecj.11443