Representing temporal spatial, and causal knowledge for monitoring and control in an Intelligent Simulation Training System

Author

Interrante, Leslie D.

Author_Institution

Dept. of Ind. & Syst. Eng., Alabama Univ., Huntsville, AL, USA

fYear

1991

fDate

1-2 Apr 1991

Firstpage

263

Lastpage

269

Abstract

The objective of the Intelligent Simulation Training System (ISTS) is to train students in monitoring and controlling physical objects in time and space. The ISTS consists of a graphic computer simulation, an expert system, and a user interface. The expert system must possess a high-level model for reasoning about simulation events. Quantitative simulation data and elicited domain expertise are used to generate an abstract, qualitative model for reasoning purposes. The qualitative model is generated by a subsystem known as ELICIT (Expertise Learner and Intelligent Causal Inference Tool). This paper describes the representations used for generating such a model. ELICIT is implemented in Common LISP and Joshua (a knowledge representation language developed by Symbolics Inc.) on a Symbolics 3630 LISP machine

Keywords

computer aided instruction; control engineering computing; digital simulation; engineering graphics; expert systems; inference mechanisms; knowledge representation; training; user interfaces; Common LISP; ELICIT; Expertise Learner and Intelligent Causal Inference Tool; ISTS; Intelligent Simulation Training System; Joshua; Symbolics 3630; artificial intelligence; control engineering computing; digital simulation; expert system; graphic computer simulation; knowledge representation language; qualitative model; reasoning; user interface; Computational modeling; Computer graphics; Computer simulation; Computerized monitoring; Discrete event simulation; Expert systems; Intelligent systems; Knowledge representation; Learning systems; User interfaces;

fLanguage

English

Publisher

ieee

Conference_Titel

AI, Simulation and Planning in High Autonomy Systems, 1991. Integrating Qualitative and Quantitative System Knowledge, Proceedings of the Second Annual Conference on

Conference_Location

Cocoa Beach, FL

Print_ISBN

0-8186-2162-1

Type

conf

DOI

10.1109/AIHAS.1991.138481

Filename

138481