Title :
Computer architectures for artificial intelligence processing
Author :
Delgado-Frias, José
Author_Institution :
Dept. of Electr. Eng., State Univ. of New York, Binghamton, NY, USA
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;
Conference_Titel :
Southern Tier Technical Conference, 1990., Proceedings of the 1990 IEEE
Conference_Location :
Binghamton, NY
DOI :
10.1109/STIER.1990.324640
