A KNOWLEDGE REPRESENTATION LANGUAGE FOR UNIVERSITY REQUIREMENTS

被引：1

作者：

GOLUMBIC, MC

MARKOVICH, M

TIOMKIN, M

机构：

[1] IBM Israel Scientific Center, Technion City, Haifa

来源：

DECISION SUPPORT SYSTEMS | 1991年 / 7卷 / 01期

关键词：

KNOWLEDGE REPRESENTATION; ACADEMIC PLANNING; LOGIC PROGRAMMING;

D O I：

10.1016/0167-9236(91)90075-M

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Intelligent systems with applications in an academic environment are becoming a reality. Such systems can offer intelligent assistance in tasks ranging from interactive scheduling, academic planning, office automation, database management and computer assisted instruction. The problem of designing a general requirements model for university degrees is investigated. A method for expressing the structure of university requirements is described, and a representation language consisting of a subset of Prolog based on set theoretic primitives is suggested. This work has been motivated by our experience with the Academic Planning Environment (APE) expert system project [9] whose goal has been to study the use of knowledge-based techniques in the advising and assistance of university students in the planning of their studies towards an academic degree.

引用

页码：33 / 45

页数：13

共 17 条

[11]

Michie, Expert Systems in the Micro-electronic Age, (1979)

[12]

Minsky, A framework for representing knowledge, The Psychology of Computer Vision, pp. 211-277, (1985)

[13]

Quillian, Semantic memory, Semantic Information Processing, pp. 227-270, (1968)

[14]

Schwartz, On programming, An interim report on the SETL project, (1973)

[15]

Shaw, The Carnegie-Mellon Curriculum for Undergraduate Computer Science, (1985)

[16]

Sterling, Shapiro, The Art of Prolog, (1986)

[17]

Sowa, Conceptual Structures: Information Processing in Mind and Machine, (1984)

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