Language comprehension in a problem solver

Authors:
Douglas Wong
Affiliations:
Department of Computer and Information Studies, Colgate University, Hamilton, New York and Department of Computer Science, Brown University, Providence, Rhode Island
Venue:
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
Year:
1981

Citing 6
Cited 0

Theory of Syntactic Recognition for Natural Languages

Theory of Syntactic Recognition for Natural Languages
Flexibility and Efficiency in a Computer Program for Designing Circuits

Flexibility and Efficiency in a Computer Program for Designing Circuits
On the unification of language comprehension with problem solving

On the unification of language comprehension with problem solving
On the unification of language comprehension with problem solving

On the unification of language comprehension with problem solving
Bad-mouthing frames

TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing
The commonsense algorithm as a basis for computer models of human memory, inference, belief and contextual language comprehension

TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes BRUIN, a unified A system that can perform both problem-solving and language comprehension tasks. Included in the system is a frame-based knowledge-representation language called FRAIL, a problem solving component called NASL (which is based on McDermott's problem-solving language of the same name), and a context-recognition component currently known as PRAGMATICS. The intent of this paper is to give a flavor of how the context recognizer PRAGMATICS works and what it can do. Examples are drawn from the inventory-control, restaurant and blocks-world domains.