Extending GeNIe for building graphical decision-theoretic models

Author

Yunfei Ge ; Lihua Zhou ; Shengmin Cui ; Ming Yang

Author_Institution

Dept. of Comput. Sci. & Eng., Yunnan Univ., Kunming, China

fYear

2013

fDate

23-25 July 2013

Firstpage

588

Lastpage

593

Abstract

The influence diagram is a graph model for solving complex decision problems based on uncertain information. In order to deal with various decision problems, many new types of influence diagram have been developed. In this paper, we extend GeNIe, a development environment for building graphical decision-theoretic models, by using the library of functions (SMILE) for graphical probabilistic and decision-theoretic models, and thus GeNIe can model and evaluate the qualitative influence diagram with weights and the influence diagram with interval parameters.

Keywords

decision theory; graph theory; mathematics computing; GeNIe development environment; SMILE functions library; graphical decision-theoretic models; graphical probabilistic model; influence diagram; interval parameters; uncertain information; Bayes methods; Cognition; Computational modeling; Decision making; Libraries; Object oriented modeling; Probabilistic logic; GeNie; Influence Diagram; Influence diagram with interval parameters; Qualitative Influence Diagram with weights; SMILE;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on

Conference_Location

Shenyang

Type

conf

DOI

10.1109/FSKD.2013.6816265

Filename

6816265