Task structures as a basis for modeling knowledge-based systems

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29206

Title:	Task structures as a basis for modeling knowledge-based systems
Authors:	Lee,J
Contributors:	資訊工程研究所
Keywords:	SPECIFICATION
Date:	1997
Issue Date:	2010-06-29 20:16:21 (UTC+8)
Publisher:	中央大學
Abstract:	Recently, there has been an increasing interest in improving the reliability and quality of Al systems. As a result, a number of approaches to knowledge-based systems modeling have been proposed. However, these approaches are limited in formally verifying the intended functionality and behavior of a knowledge-based system. In this article, we proposed a formal treatment to task structures to formally specify and verify knowledge-based systems modeled using these structures. The specification of a knowledge-based system modeled using task structures has two components: a model specification that describes static properties of the system, and a process specification that characterizes dynamic properties of the system. The static properties of a system are described by two models: a model about domain objects (domain model), and a model about the problem-solving states (state model). The dynamic properties of the system are characterized by (1) using the notion of state transition to explicitly describe what the functionality of a task is, and (2) specifying the sequence of tasks and interactions between tasks (i.e., behavior of a system) using task state expressions (TSE). The task structure extended with the proposed formalism not only provides a basis for detailed functional decomposition with procedure abstraction embedded in, but also facilitates the verification of the intended functionality and behavior of a knowledge-based system. (C) 1997 John Wiley gr Sons, Inc.
Relation:	INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] journal & Dissertation

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