On the representation of problems in artificial intelligence

Author

Amarel, Saul

Author_Institution

Dept. of Comput. Sci., Rutgers Univ., New Brunswick, NJ, USA

fYear

1988

fDate

9-13 Oct 1988

Firstpage

168

Abstract

Summary form only. In determining the computer language requirements for implementation of problem solving processes in AI, it is essential to clarify the nature of components that enter in the formulation of problems, solutions, and problem-solving procedures. An abstract formulation of a pattern in AI includes: the specification of a domain of discourse, the characterization of a set of possible solutions, and the specification of problem conditions that a member of the solution set must satisfy for it to be accepted as a solution to the problem. The data structures and process structures of program formulations of problems must be responsive to the characteristics of procedural formulations, which, in turn, depend on features of the key components of abstract problem formulations

Keywords

artificial intelligence; data structures; high level languages; problem solving; AI; abstract formulation; abstract problem formulations; artificial intelligence; computer language requirements; data structures; problem conditions; problem solving processes; problem-solving procedures; procedural formulations; process structures; program formulations; Artificial intelligence; Computational complexity; Computational efficiency; Computer languages; Computer science; Data structures; Heart; Knowledge representation; Problem-solving; Sufficient conditions;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Languages, 1988. Proceedings., International Conference on

Conference_Location

Miami Beach, FL

Print_ISBN

0-8186-0874-9

Type

conf

DOI

10.1109/ICCL.1988.13060

Filename

13060