Computer architectures for artificial intelligence processing

Author

Delgado-Frias, José

Author_Institution

Dept. of Electr. Eng., State Univ. of New York, Binghamton, NY, USA

fYear

1990

fDate

32988

Firstpage

147

Lastpage

154

Abstract

Since the conventional numerically oriented von Neumann computers are not appropriate for artificial intelligence (AI) software, new architectures for this application are discussed. AI computational requirements are considered. The requirements as well as the architectures for a set of AI applications are presented. LISP architectures including functional programming and the SPUR (symbolic processing using RISCs) system as an example are described. Logic oriented architectures are considered including OR-parallelism and AND-parallelism,. Knowledge oriented architectures and neural networks are discussed

Keywords

artificial intelligence; functional programming; neural nets; parallel architectures; reduced instruction set computing; AI algorithms; AI computational requirements; AND-parallelism,; LISP architectures; OR-parallelism; RISC; SPUR; artificial intelligence processing; computer architectures; functional programming; knowledge-oriented architectures; logic-oriented architectures; neural networks; symbolic processing; Application software; Artificial intelligence; Computer architecture; Computer vision; Data structures; Functional programming; Logic; Neural networks; Parallel processing; Software performance;

fLanguage

English

Publisher

ieee

Conference_Titel

Southern Tier Technical Conference, 1990., Proceedings of the 1990 IEEE

Conference_Location

Binghamton, NY

Type

conf

DOI

10.1109/STIER.1990.324640

Filename

324640