Diverse Reasoning in Automated Model Formulation

Title	Diverse Reasoning in Automated Model Formulation
Creator	曾淑峰 Tseng, Shu-Feng
Key Words	Intelligent decision support systems; Model formulation: Blackboard systems
Date	1997-08
Date Issued	17-Jan-2009 16:35:24 (UTC+8)
Summary	Diverse reasoning supports a dynamic integration of various reasoning methods in a computerized system. This paper describes a control blackboard approach to simulate the control features observed in the expert`s model formulation protocols. The diverse reasoning concept is incorporated so that the model formulation process is dynamically in a plan-directed, action-directed, or data-directed fashion. The diverse reasoning concept facilitates the control features simulation. By analyzing the diverse reasoning behavior in the proposed system, this paper contributes to a better understanding of and support to the modeling process for the design of intelligent decision support systems. The usefulness of the prototype system is also evaluated using an empirical experiment.
Relation	Decision Support Systems, 20(4), 357-383
Type	article

dc.creator (作者)	曾淑峰	zh_TW
dc.creator (作者)	Tseng, Shu-Feng	-
dc.date (日期)	1997-08	en_US
dc.date.accessioned	17-Jan-2009 16:35:24 (UTC+8)	-
dc.date.available	17-Jan-2009 16:35:24 (UTC+8)	-
dc.date.issued (上傳時間)	17-Jan-2009 16:35:24 (UTC+8)	-
dc.identifier.uri (URI)	https://nccur.lib.nccu.edu.tw/handle/140.119/27362	-
dc.description.abstract (摘要)	Diverse reasoning supports a dynamic integration of various reasoning methods in a computerized system. This paper describes a control blackboard approach to simulate the control features observed in the expert`s model formulation protocols. The diverse reasoning concept is incorporated so that the model formulation process is dynamically in a plan-directed, action-directed, or data-directed fashion. The diverse reasoning concept facilitates the control features simulation. By analyzing the diverse reasoning behavior in the proposed system, this paper contributes to a better understanding of and support to the modeling process for the design of intelligent decision support systems. The usefulness of the prototype system is also evaluated using an empirical experiment.	-
dc.format	application/	en_US
dc.language	en	en_US
dc.language	en-US	en_US
dc.language.iso	en_US	-
dc.relation (關聯)	Decision Support Systems, 20(4), 357-383	en_US
dc.subject (關鍵詞)	Intelligent decision support systems; Model formulation: Blackboard systems	-
dc.title (題名)	Diverse Reasoning in Automated Model Formulation	en_US
dc.type (資料類型)	article	en