Connectionist architectures for artificial intelligence

Journal Article · Thu Jan 01 04:00:00 EST 1987 · Computer; (United States)

DOI:https://doi.org/10.1109/MC.1987.1663364· OSTI ID:7190065

Fahlman, S E; Hinton, G E

A number of researchers have begun exploring the use of massively parallel architectures in an attempt to get around the limitations of conventional symbol processing. Many of these parallel architectures are connectionist: The system's collection of permanent knowledge is stored as a pattern of connections or connection strengths among the processing elements, so the knowledge directly determines how the processing elements interact rather that sitting passively in a memory, waiting to be looked at by the CPU. Some connectionist schemes use formal, symbolic representations, while others use more analog approaches. Some even develop their own internal representations after seeing examples of the patterns they are to recognize or the relationships they are to store. Connectionism is somewhat controversial in the AI community. It is new, still unproven in large-scale practical applications, and very different in style from the traditional AI approach. The authors have only begun to explore the behavior and potential of connectionist networks. In this article, the authors describe some of the central issues and ideas of connectionism, and also some of the unsolved problems facing this approach. Part of the motivation for connectionist research is the possible similarity in function between connectionist networks and the neutral networks of the human cortex, but they concentrate here on connectionism's potential as a practical technology for building intelligent systems.

• Research Organization: Carnegie-Mellon Univ.
• OSTI ID: 7190065
• Journal Information: Computer; (United States), Journal Name: Computer; (United States) Vol. 20:1; ISSN CPTRB
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
990210* -- Supercomputers-- (1987-1989)
ARTIFICIAL INTELLIGENCE
COMPUTER ARCHITECTURE
COMPUTERS
DIGITAL COMPUTERS
KNOWLEDGE BASE
MEMORY DEVICES
PARALLEL PROCESSING
PROGRAMMING
RESEARCH PROGRAMS
SUPERCOMPUTERS