DocumentCode :
2472173
Title :
Task-based specifications through conceptual graphs
Author :
Lee, Jonathan ; Lai, Lein F. ; Huang, Wei T.
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chung-Li, Taiwan
fYear :
1995
fDate :
20-23 Feb 1995
Firstpage :
196
Lastpage :
202
Abstract :
We propose the use of conceptual graphs to express task based specifications in which the specification is driven by the task structure of problem solving knowledge, pieces of the specification can be refined iteratively and verification is performed for a single layer or between layers. Issues in mapping task based specifications into conceptual graphs are identified for example, the representation of constraints, the relationship between a task, its constraints and state model, rigid and soft postconditions, the distinction between follow and immediately follow operators, and the composition operator in task state expressions. To alleviate the problems, the notion of demons has been adopted to represent task state expressions as well as state models. Constraint overlays have been used for describing the state model, and canonical formation rules have been applied to compose task state expressions. These are illustrated using the problem domain of R1/SOAR
Keywords :
formal specification; graph theory; knowledge representation; knowledge verification; problem solving; R1/SOAR; canonical formation rules; composition operator; conceptual graphs; constraint overlays; demons; problem solving knowledge; state models; task based specifications; task state expressions; task structure; task-based specifications; verification; Computer science; Encapsulation; Expert systems; Knowledge engineering; Problem-solving; Software engineering; Terminology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence for Applications, 1995. Proceedings., 11th Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-8186-7070-3
Type :
conf
DOI :
10.1109/CAIA.1995.378772
Filename :
378772
Link To Document :
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